IMPROVE PLANT PROFITS WITH NOVEL PROCESS CONTROL. New Generation PID Tuning and Advanced Process Control Software
|
|
- Adrian Garrison
- 5 years ago
- Views:
Transcription
1 IMPROVE PLANT PROFITS WITH NOVEL PROCESS CONTROL New Generation PID Tuning and Advanced Process Control Software
2 COMPANY BACKGROUND AND HISTORY PiControl Solutions is a Process Control, Advanced Control and Services Company. Offerings include: Process Control, PID Tuning/Monitoring Software and Services Advanced Process Control (APC) Software OPC (Communications) Software Technology Products Computer-Based Engineering Training Products and Courses Process Control Consulting, Commissioning, Startup and Post- Project Support/Maintenance Formed in 1997, PiControl has presence in 12 countries. Website: Locations: USA (New Mexico, Texas, Florida), Belgium, Croatia, Brazil, Argentina, India, China, Nigeria, South Africa, Egypt, UAE, Saudi Arabia, South Korea. 2
3 New Generation PID Tuning and Advanced Process Control Software Process Control Software Products PITOPS System Identification PID/APC Tuning and Design DMC/RMPCT maintenance SIMCET PID Tuning Simulator APROMON PID Control Quality Monitor PILIMS Laboratory Management System RECICON Polymer APC VISTA-APC Complete DCS-resident APC platform TURBO-MAX 3 Online Optimizer PI-OPC SERVER OPC Simulation Server
4 PROCESS CONTROL BENEFITS & OPPORTUNITIES Billions of $ lost worldwide because of Inefficient plant operation Lack of automation and smoother operation Inability to move the plant in direction of maximum efficiency and profits Shutdowns and operational problems due to poor control Sustained oscillations Despite advances in process control hardware, systems and applications, less than 15% of plants worldwide are equipped with the best control methodology. 4
5 THE BIG OPPORTUNITY DCS/PLC based PID and APC functions not fully utilized Absence of practical process control tools New and inexperienced personnel Expensive, complex software Fast changing technology Running plants conservatively Using modern tools for Controller Quality Monitoring & Diagnostics System identification Control Simulation & Optimization PID Tuning Improvement APC (Advanced Process Control) implementation A LOT CAN BE ACHIEVED by implementing Process Control Schemes. 5
6 INCREASE PLANT PROFITS BY 2-10% ($50K - $2 MILLION /YEAR) Maximize production Minimize utilities Minimize waste and off-spec product Reduce unplanned shut-downs Reduce oscillations and control problems Identify faulty instruments and control valves Improve stability Increase safety Assist operator with tools to avoid mistakes Run the plant smoother and better 6
7 PICONTROL BENEFITS TO INDUSTRY Process Control Training for Industry 2 weeks training course for all process control engineers and technicians Monitor and Optimize all PID controllers Technology and software superior to Honeywell, Expertune, Emerson, ControlSoft, Invensys, AB etc. Reduce control deviation/oscillations by % PiControl products proven superior to CPM, Intune etc. Install DCS/SCADA-based APC on plants Superior to DMC/RMPCT, faster commissioning, far less maintenance and fractional cost Honeywell, Aspen and others not able to offer PiControl methodology 2-7% increase in production rates, reduction in utilities and % faster grade/product transitions. Assist on startups, projects, consulting, debugging and troubleshooting. 7
8 PICONTROL SUCCESS STORIES PiControl successes on various notable projects with international companies: ExxonMobil Polymers, Refining and Chemicals Intel Semiconductors Sunoco Oil Refining INA Rijeka Refinery The Mol Group LG Chemicals AES Andres Electric Power Florida Power & Light Nuclear Plants Salalah Methanol SMC, Oman Oil Praxair Cryogenic Distillation- Industrial Gases Univation Technologies Polyethylene Atlas Copco Compressor Control ABB Paper Plant Process Control Project PiControl was selected over Honeywell, Aspen, Expertune, Ipcos etc. based on superior and modern technology unmatched by competition. 8
9 OUR STRENGTH AND UNIQUENESS Novel technology superior to: Honeywell Aspen Expertune Mathworks, Matlab National Instruments Ipcos, Controlsoft etc. PiControl Uniqueness: New algorithms, new software and new technology Simpler, robust technology More practical and robust for control room Easy to understand, implement and maintain 9
10 PID SIMULATOR SIMCET Software (SIMulator for Certification, Education and Testing)
11 SIMCET PID TUNING SIMULATOR SIMCET is a PID Tuning Real-Time Simulator for training. You can mimic real PIDs from a DCS/PLC graphic/screen on to a PC and even match process dynamics precisely. Copy JPGs from your DCS/PLC/SCADA, mimic process dynamics and build a simulation resembling your plant on a SIMCET screen- all in minutes! It is simple, fast, compact, can be downloaded and used in just 10 minutes! You can also practice PID tuning on the simulator. Additionally, SIMCET can test your PID tuning skills using unique, novel online real-time tuning tests that are randomly generated. Use SIMCET to train new employees faster and better, like never before. 11
12 TRAIN, TEST, CERTIFY & QUALIFY YOUR PROCESS CONTROL ENGINEERS AND TECHNICIANS Each plant has many PID Controller Loops. PID tuning skills are very important. Simcet helps to improve PID Tuning Skills. User can tune loops on a PC instead of real plant. Simcet provides real-plant tuning environment. Fearlessly tune loops, drive them unstable or sluggish, put in Manual/Auto and learn PID tuning. 12
13 NEW & UNIQUE PID TUNING TRAINING SYSTEM USING SIMCET 2 3 GRADING Engineer or DCS Technician PID Tuning TESTING on Simulator Supervisor Checks Tuning Score from Simcet (Performance). If good score, person is Qualified to tune loops in Control Room. Otherwise he must Practice and Re-Test. 1 PID Tuning PRACTICE on Simulator 4 Secretary maintains PID tuning test Scores for new and current engineers. Everyone must take test every year to maintain good skills. 13
14 REACTOR TC SIMULATION Fearlessly Play with PID Control, drive Unstable to Learn Tuning like never before You learn faster since you can run PID simulations in faster time speed than real life. Very slow loops can be made to run fast. See results of tuning changes soon instead of after minutes or hours! Setpoint Change You could rarely do this in real plant, but you can on Simcet Real-time Simulator PiControl Solutions Company Copyright
15 After all PID Tuning Tests are Taken, Final GRADE SHEET is generated 15
16 COPY JPG OF DCS GRAPHIC Make a screen shot of DCS/PLC operator graphic Incorporate into Simcet Build dynamic model using actual plant data 16
17 READ PLANT DATA FROM EXCEL OR OPC TO IDENTIFY PROCESS DYNAMICS Read PID data from Excel or OPC.
18 FROM DCS SCREEN (JPG) TO SIMCET ON PC Port PID Loops dynamics and DCS graphic into Simcet Real-time simulator trend (behaves like the real process and the real PID in DCS or PLC) 18
19 SIMCET ADAPTIVE CONTROL AND NONLINEAR DYNAMICS Every process is nonlinear to varying extents. SIMCET allows adaptive tuning and nonlinear dynamics to accommodate: Startup conditions Low/Medium production rate Maximum production rate Process upset/abnormal conditions Grade transitions Different process relationship due to different catalyst, raw material or equipment Instead of high effort, cost and difficult modeling using rigorous engineering models, SIMCET offers a novel, modern way of simulating process with dynamics and adaptive adjustment based on actual process data. The simulator model prediction fidelity is higher. Time to build simulator is much shorter and costs are far lower. 19
20 PID TUNING OPTIMIZER AND DCS-BASED APC DESIGN PITOPS Software
21 WHAT IS PITOPS? It is process control software for chemical plants and universities. It identifies transfer functions. It optimizes PID tuning parameters. It helps to designs APC (Advanced Process Control) inside the DCS or PLC. It is an Industrial Tool for the Control Room and a Training Tool for Research and Teaching in Colleges.
22 PITOPS IS A MAJOR NEW INVENTION Pitops identifies multivariable transfer functions with closed-loop data (no step-tests) in just minutes! Pitops tunes single PIDs, Cascade and Slave PIDs precisely meeting plant needs. Pitops can be used develop APC (advanced process control) systems inside the DCS, PLC or SCADA systems much better and cheaper than MPC (model predictive control).
23 PID TUNING ILLUSTRATION PPM Gas Composition AI SP (Setpoint) AC PPM Gas Composition Cascade PID Controller Gas Phase Reactor Slave Flow Controller FC FI Gas Flow Indicator Gas Flow Into Reactor Gas phase composition is controlled by a cascade PID (AC) analyzer controller, whose OP (output) manipulates the SP (setpoint) of a slave flow controller. We illustrate the tuning of the AC which has slow and complex dynamics.
24 READ PLANT DATA FROM EXCEL OR OPC We specify the Excel Filename Pitops then reads PID PV, the Controlled Variable Pitops also reads PID OP, the Manipulated Variable First, Pitops reads data from Excel or OPC.
25 TRANSFER FUNCTION PARAMETERS The BLUE trend is the Transfer Function Model Prediction See transfer Function Parameters Identified: Dead Time=18 minutes Process Gain=32.8 Time Constant=35.8 minutes Complete Closed-Loop Data from normal plant operation (No Step Tests like conventional methods)!
26 PID TUNING OPTIMIZATION Now we proceed to PID Tuning Optimization First, set the CV range, in our example, range of the AC (analyzer controller) Next, set the MV range, the output range of the AC
27 OPTIMIZE PID TUNING Next, click on Optimize PID Tuning See Calculated Optimum PID Tuning Parameters See the optimized PV Response Notice the SP Change, Blue Trend Examine the AC (PID) OP Output Trajectory
28 THE ENTIRE PROCESS OF PID TUNING INCLUDING TRANSFER FUNCTION IDENTIFICATION TOOK Only 3 Minutes and 10 Clicks And it was so Easy, Fast and Convenient! No intrusive step tests, but just used closed-loop data from normal operation
29 MULTIVARIABLE IDENTIFICATION Pitops can process multivariable inputs and outputs (MIMO systems). See a three input multivariable identification below. Pitops identifies Three transfer functions simultaneously using complete Closed-Loop data. MV#1 (Input #1) MV#2 (Input #2) MV#3 (Input #3) Transfer Function #1 Transfer Function #2 Transfer Function # CV (Output) See next slide showing plant data and Pitops identification CV is Overheads Product Purity MV#2 is Reflux MV#1 MV#2 CV MV#1 is Column Feed MV#3 MV#3 is Reboiler Steam
30 FEEDFORWARD CONTROL, CONSTRAINT OVERRIDES, MODEL-BASED CONTROL, INFERENTIAL CONTROL Pitops is not only a transfer function identifier and PID tuning optimizer but has the functions to design, implement and tune Feedforwards, Constraint Control Schemes, Model- Based Control and Inferential Control Schemes. Feedforward Control Production Rate Maximizing APC Constraint Override Control Inferential and Model- Based Control
31 IMPROVE MPC (DMC/RMPCT) PERFORMANCE SOLUTION TO TWO PROBLEMS: Over 65% base-level PIDs poorly tuned MPC/DMC models show slower dynamics because of poorly/sluggishly tuned primary PIDs Steady state and dynamic component in MPC models may be off by 50% to 200% As a result poor control action by DMC/RMPCT Lack of awareness of problem No simple solutions for the new and inexperienced engineer. Error in DMC/RMPCT models due to small steps, nonlinearities and many other reasons Pitops can identify multi-input closed loop models Help to improve DMC model Tremendous improvement in DMC controller performance 31
32 WITH PITOPS AND SIMCET Port your DCS operator graphics into SIMCET Use PITOPS to mimic real plant dynamics into SIMCET. Train, test and certify your engineers and technicians like never before. Build DCS-based APC: In a remarkably short time With minimal intrusive and disturbing plant tests Increase Production Rates Reduce Operator Mistakes and Shutdowns Run Plant Smoother Save 2-10% profits. 32
33 ONLINE CONTROL QUALITY MONITORING APROMON Software (Advanced Process Monitoring)
34 ONLINE CONTROL QUALITY MONITORING- APROMON SOFTWARE Plants have PID loops Process dynamics change PIDs and APC systems need to be monitored Control room staff cannot watch all controllers daily Online monitoring software is essential Less than 15% of plants use monitoring software Big opportunity is missed Monitoring software: Generates daily report (identifies bad PIDs and APCs) Sends online /text alerts when control deteriorates Proactive versus Reactive Maintenance APROMON control monitoring product is compact, easy to use and can monitor as many as 5000 PIDs 34
35 WHAT WILL HAPPEN AT YOUR PLANT TOMORROW IF THIS HAPPENS Signal is normal here Signal freezes here (instrument or communications failure) How would your operator know there is a problem?? Operator would not know until much later when process upset took place. 10 min If you had Apromon, operator would have received an ALARM here (after only 10 minutes!) 35
36 ARE YOU AWARE YOUR CONTROL VALVES ARE SLOWLY GETTING DESTROYED? Control valve may be moving erratically like this one. How would you know?? There are control valves in your plant. Apromon would have alerted and helped you to make control valve movement smoother This control valve will wear out fast and cost you replacement maintenance costs. Apromon helps to: Identify Noisy PV signals Advises you to put PV filtering Warns of excessive Derivative action Increases control valve life Improves control action Average savings US$275,000 per 36 year
37 AN INSIDIOUS CONTROL PROBLEM 37
38 LIST OF CONTROL QUALITY AND STATISTICAL CRITERIA Integrated Error Frozen Error Squared Onstream Factor Control Error Deviation Control Tightness Imbalance Skew Unstable Hunting Spectrum Noise Level True Amplitude Display Variance & Standard Deviation Cascade PID criteria Operator Cheating Intervention Rope Length Vacillation Spike OP Spike PV Output Saturation PV Saturation Crimp PP, PPK (Statistical Criteria) Multivariable Control Criteria 38
39 APROMON CONTROL MONITORING BENEFITS EXAMPLES Which loops are not controlling well? Which loops are oscillating? Which loops have matching frequencies? Which control valves are not working well? Which control valves are moving excessively? Which loops need proportional adjustment? Which loops need integral adjustment? Which loops need derivative adjustment? Which loops need filter adjustment? What is onstream factor of the loops? Which loops do the operators intervene most? Which loops have instrument signal problems? And many other diagnostic assistance tips for the control room engineer and technician. 39
40 40 DCS-BASED APC (ADVANCED PROCESS CONTROL) Using PiControl Software, Technology and Methodology
41 Power of DCS/PLC-resident APC Far Superior to MPC/RMPCT/DMC MPC(model predictive control), e.g., DMC/RMPCT are excellent for truly interactive processes like refining and olefins BUT Many plants have pseudo-diagonal control matrix (practically non-interactive) Many plants can be controlled well with DCS/PLC-resident APC Advantages of DCS/PLC-resident APC: More effective control, more benefits Faster commissioning time Easier and lower maintenance Pitops has been used to implement DCS-based APC PiControl s VISTA-APC is a complete platform for developing and implementing DCS-APC 41
42 CASE STUDY Production Rate Maximizer APC Example
43 PRODUCTION RATE MAXIMIZER APC EXAMPLE 43
44 LUBE OIL PROCESS Sold out plant- more product => More PROFIT Plant operation is challenging: Different product grades Changing process conditions Night and day ambient temperature changes Constraints changing constantly from one unit to another Highly viscous product- lab errors, instrument errors Operators prefer to run conservatively, at expense of Lost production opportunity 44
45 CONTROL MATRIX PSEUDO DIAGONAL A Practically Non-Interactive Process 45
46 A COMMON EXPENSIVE MISTAKE Above control matrix looks like good candidate for MPC/DMC Several MVs and several CVs. Newly trained engineers coming from MPC/DMC course quickly jump onto an MPC project. BIG MISTAKE!!! Look carefully matrix is Pseudo-Diagonal This matrix excellent candidate for DCS-resident APC Whole project 3 weeks total time (start to finish) Savings $1.5 million/per year recurring 5% increase in production rate No DMC/MPC, no external computer, no expensive software, no consultant, everything on existing DCS 46
47 PID TUNING AND APC PARAMETER OPTIMIZATION Controller Gain (P) Integral (I) Derivative (D) Initial PID Tuning Optimal PID Tuning minutes 24.8 minutes 0 minutes 0 minutes 47
48 DCS/PLC-RESIDENT APC ARCHITECTURE FOR LUBE OIL PLANT Constraint Limits and Setpoints Current process values from DCS/PLC Production Goal Targets DCS/PLC-resident Advanced Control System Online adaptive control Constraint override control Cascade and feedforward control Model-based control Remote SPs from APC FC FC FC FC FC FC FC FC FC FC Rx#1 Rx#2 Distil#1 Distil#1 Distil#1 Distil#2 Distil#2 Distil#2 Fixed Bed HP Flare Feed Feed Feed Steam Reflux Feed Steam Reflux Rx Feed Flow 48
49 IMPROVED LUBE OIL PLANT OPERATION AFTER PID OPTIMIZATION AND APC 49
50 INCREASE IN PRODUCTION RATE BECAUSE OF PROCESS CONTROL IMPROVEMENTS 50
51 LUBE OIL PLANT DCS-RESIDENT APC 12 MVs, 28 CVs, 11 FFs Entire APC designed and installed on existing DCS 2 weeks DCS configuration, model identification and control simulation/optimization 1 week of commissioning and tuning Excellent operator feedback and acceptance 5% increase in production rate = $1,500,000 51
52 INDUSTRIAL SUCCESS STORIES WITH PITOPS AND APROMON SOFTWARE TECHNOLOGY Refining complex $1,500,000 Lube oil plant $1,300,000 Ethylene plant $750,000 Polymer reactor - $550,000 Styrene monomer plant - $450,000 Hydrogen plant $250,000 Cryogenic air separation plant $170,000 Electric power plant $125,000 52
53 PAST AND RECENT SUCCESSES 2015 Atlas Copco Compressor Corp. choses PiControl for training, consulting and improving of compressor control schemes PiControl selected by Intel for corporate contract for plant-wide control quality monitoring. Honeywell, Expertune and others failed to meet requirements SMC Oman selected PiControl from 5 other bidders including Honeywell, Expertune, Ipcos, OptiControl and Controlsoft Closed loop identification and PID/APC calculations proven superior to ARMAX- Matlab and DMC/RMPCT calculations PiOPC server from PiControl superior to Matrikon OPC simulation server ExxonMobil preferring PiControl technology and using Pitops and Apromon over CPM for Research and Labs ReciCon Polyethylene APC accepted and approved by ExxonMobil proving superior control to other technologies Present PiControl s Simcet PID tuning simulator has absolutely no competiton in the market Present PiControl closed-loop technology can use closed-loop data with DMC/RMPCT active and improve models. 53
54 CONCLUSIONS AND SUMMARY Numerous APC opportunities exist today Power of DCS and PLC not fully utilized PID tuning, APC implementation, MPC/DMC improvements are all attractive opportunities Savings up to 15-20% of gross profit margins are possible and proven Vendor software is often complex and expensive New engineers and technicians do not have modern practical skills necessary for control room work Our closed-loop identification technology, APC implementation at DCS/PLC level, control monitoring and MPC improvements have a huge potential 54
55 PROCESS CONTROL TRAINING SLIDES PiControl Solutions LLC
56 COURSE AGENDA FOR PID100 (2 DAYS)- PID TUNING AND PRIMARY CONTROL 1. Basic Definitions and Nomenclature 2. Transfer Function Dynamics 3. PID Control Algorithm 4. Filter Action for Noisy Signals 5. Control Quality Error Criteria 6. PID Control Problems and Diagnostics 7. Setpoint Step Test Illustrations 8. Zero-Order Transfer Function 9. PID Tuning Procedures 10. When to use Derivative Action 11. PV Tracking 12. Identifying Process Dynamics 13. Cascade PID Control Overview
57 Course Agenda for APC200 (3 days)- Advanced Process Control 1. Need and Benefits of Advanced Process Control (APC) 2. Primary Process Control and PID Control Terminology 3. Transfer Functions- Advanced Concepts 4. Cascade Control Design 5. Identification of Process Dynamics 6. Constraint Control Strategies Using Override Selectors 7. Feedforward Control 8. Ratio Control 9. Dead Time Compensation 10. Decouplers 11. Inferential and Model-Based Control 12. Split-Range Control 13. Real Plant PID Tuning Example 14. Model Predictive Control (MPC) & Rule-Based Control 15. Nonlinear Processes Copyright PiControl Solutions
58 CHARACTERIZE VALVE VERSUS FLOW DYNAMICS USING TRANSFER FUNCTION Process Gain= 15/3= 5.0 (Kg/hr) / % Dead Time = 3 sec Time Constant = 12 sec 63% Change 100% Change 15 Kg/hr Flow 1000 Kg/hr Valve Position 55% 3 sec Dead Time 12 sec Time Constant 3% 58% 1000 Kg/hr Time (Seconds)
59 Common Transfer Functions in Plant ZERO FIRST SECOND SECOND OPEN ORDER ORDER ORDER ORDER LOOP S-SHAPE WAVY UNSTABLE STEP CHANGE IN MV
60 VALVE CHARACTERIZATION 60
61 AVERAGE TEMPERATURE CONTROL
62 PID EXAMPLE #3 OP n = OP n-1 + P [ de + E dt/i + D d(dpv)/dt ] Note: P = 2, I = 10, D = 1, dt = 1 Time (Second) SP PV E de dpv d(dpv) OP (Init = 55) NOTE: Here also E, de and d(dpv) are all non-zero, contribution is from all terms- P,I and D. Proportional term is ZERO. Integral term is POSITIVE. Derivative term is NEGATIVE.
63 DIRECT ACTION AND REVERSE ACTION EXAMPLES If PV (Flow) is HIGHER than SP Then DECREASE PID OP (CLOSE Control Valve) (REVERSE ACTION) Tank Flow In Level LI SP LC If PV (Level) is HIGHER than SP Then INCREASE PID OP (OPEN Control Valve) (DIRECT ACTION) Flow Out
64 WHAT IS THE DIFFERENCE BETWEEN THE FOLLOWING PID EQUATIONS? Eq. #1: OP n = OP n-1 + P [de + E dt/i + D d(dpv)/dt ] Eq. #2: OP n = OP 0 + P [E + 1/I ʃ E dt + D (dpv)/dt ] There is NO difference! Equation #1 is VELOCITY form Equation #2 is POSITIONAL form Both equations are really the same but expressed differently. PID Control action from both equations will be the same.
65 FILTER TIME CONSTANT (FILTER VALUE) Step Input Transfer Function 63% Change Transfer Function Output Noisy Input Filter Transfer Function Smoother Output Dead Time = 0 Process Gain = 1 Filter Time Constant (Minutes or Seconds)
66 PID Control Quality SLOW TUNING SP PV ERROR (PV - SP) BETTER TUNING
67 PID CONTROL PROBLEMS & DIAGNOSTICS Case 1 PV Continuous Cycling: High Proportional, Low Integral or both SP Case 2 Persistent Deviation: Low Proportional, High Integral or both SP PV SP Case 3 Too Long to Reach New SP: Low Proportional, High Integral or both PV Case 4 SP PV Overshoot and Oscillations After SP Change: High Proportional, Low Integral or both
68 TYPICAL PV AND OP TRENDS FOR A PID CONTROLLER WITH A BAD CONTROL VALVE (STICTION, HYSTERESIS, MECHANICAL PROBLEM) PV spends more time on one side of the SP PV SP OP OP has a distinctively noticeable see-saw triangular pattern
69 FURNACE CASCADE CONTROL Feed Furnace SP FC (secondary PID) adjusts valve to maintain constant flow before temperature is affected MASTER PID SLAVE PID PV TC OP SP PV FC TT FT Pressure variations in fuel line affect fuel flow OP Fuel
70 70
71 PROCESS CONTROL HIERARCHY Online Optimization Advanced Process Control (APC) Model Predictive Control (DMC, RMPCT) Cascade PID Control Feedforward Control RTO (Real Time Optimization) Primary Control Flow Control Pressure Control Level Control Temperature Control DCS (Distributed Control System)
72 CONSTRAINT CONTROL USING OVERRIDE SELECTORS SP SP SP PID PV #1 PV PID #2 2.7 PV PID #3 45% 55% 65% < Low Signal Selector 45% SP=180 FC
73 FEEDFORWARD COMPENSATION Feed Flow DISTURBANCE SIGNAL SP _ E FEEDFORWD TRANSFER FUNCTION 0.27 (10s+1) e-4s (20s+1) TC + + PV OP FF Fuel Flow -0.4 e-7s 20s+1 DISTURBANCE TRANSFER FUNCTION PROCESS TRANSFER DS (Load) + MV FUNCTION CV e-3s 10s+1 + PV Temperature
74 SMITH PREDICTOR DEAD TIME COMPENSATOR 74 Model is a Transfer Function. Model Predictive Control (MPC) replaces it with a 1st principles model or Empirical Model with multi-inputs or anything capable of predicting the CV
75 MULTIVARIABLE CONTROL MATRIX 75 Copyright PiControl Solutions
76 THE COMFORT ZONE 76 Comfort Zone
77 RULE-BASED LOGIC 77
78 AT THE END OF TRAINING Attendees will be totally changed people! Feedback from past students has been A+ Wahid from SMC, Oman: Your training totally exceeded our expectations. The PITOPS and SIMCET process control tools are amazingly simple and powerful. We are glad we chose you over Honeywell, Expertune, IPCOS, a total of 6 bidders. Bernard, ExxonMobil: Your technology is 21 st century. All your competitors are using old technology and complicated software. I learnt a lot from this training. Alan, HCC: We were looking at other technologies but after we saw your PITOPS, SIMCET and training material, chosing you was quick and obvious. Carlos, AES Power: We are amazed at how simple, modern and practical your software is and the training is very hands on. I learnt lot more in a week than a decade of hands-on work. 78
New Technology for Closed-Loop System Identification, PID Control Loop Optimization and Advanced Process Control
New Technology for Closed-Loop System Identification, PID Control Loop Optimization and Advanced Process Control J. Lepore and S. Howes PiControl Solutions LLC, Texas, USA (e-mail: steve@picontrolsolutions.com).
More informationONLINE OSCILLATION DETECTION AND ADAPTIVE CONTROL IN CHEMICAL PLANTS
ONLINE OSCILLATION DETECTION AND ADAPTIVE CONTROL IN CHEMICAL PLANTS PiControl Solutions Company www.picontrolsolutions.com info@picontrolsolutions.com Introduction Fast and reliable detection of critical
More informationEnhance operational efficiency with Advanced Process Control (APC) Integration of APC in SIMATIC PCS 7 SIMATIC PCS 7. Answers for industry.
Enhance operational efficiency with Advanced Control (APC) Integration of APC in SIMATIC PCS 7 SIMATIC PCS 7 Answers for industry. Modern closed-loop control systems in the process industry In today s
More informationTuning interacting PID loops. The end of an era for the trial and error approach
Tuning interacting PID loops The end of an era for the trial and error approach Introduction Almost all actuators and instruments in the industry that are part of a control system are controlled by a PI(D)
More informationGetting the Best Performance from Challenging Control Loops
Getting the Best Performance from Challenging Control Loops Jacques F. Smuts - OptiControls Inc, League City, Texas; jsmuts@opticontrols.com KEYWORDS PID Controls, Oscillations, Disturbances, Tuning, Stiction,
More informationProcidia Control Solutions Dead Time Compensation
APPLICATION DATA Procidia Control Solutions Dead Time Compensation AD353-127 Rev 2 April 2012 This application data sheet describes dead time compensation methods. A configuration can be developed within
More informationPerformance Monitor Raises Service Factor Of MPC
Tom Kinney ExperTune Inc. Hubertus, WI Performance Monitor Raises Service Factor Of MPC Presented at ISA2003, Houston, TX October, 2003 Copyright 2003 Instrumentation, Systems and Automation Society. All
More informationLogic Developer Process Edition Function Blocks
GE Intelligent Platforms Logic Developer Process Edition Function Blocks Delivering increased precision and enabling advanced regulatory control strategies for continuous process control Logic Developer
More informationProcess Control Laboratory Using Honeywell PlantScape
Process Control Laboratory Using Honeywell PlantScape Christi Patton Luks, Laura P. Ford University of Tulsa Abstract The University of Tulsa has recently revised its process controls class from one 3-hour
More informationCHAPTER 11: DIGITAL CONTROL
When I complete this chapter, I want to be able to do the following. Identify examples of analog and digital computation and signal transmission. Program a digital PID calculation Select a proper execution
More informationCompensation of Dead Time in PID Controllers
2006-12-06 Page 1 of 25 Compensation of Dead Time in PID Controllers Advanced Application Note 2006-12-06 Page 2 of 25 Table of Contents: 1 OVERVIEW...3 2 RECOMMENDATIONS...6 3 CONFIGURATION...7 4 TEST
More informationBuilding Effective Seed Models For Adaptive Process Control. John Campbell Director, APC Product Management AspenTech
Building Effective Seed Models For Adaptive Process Control John Campbell Director, APC Product Management AspenTech 2014 2014 Aspen Aspen Technology, Inc. Inc. All All rights rights reserved 1 Our Speaker:
More informationExperiment 9. PID Controller
Experiment 9 PID Controller Objective: - To be familiar with PID controller. - Noting how changing PID controller parameter effect on system response. Theory: The basic function of a controller is to execute
More informationThink About Control Fundamentals Training. Terminology Control. Eko Harsono Control Fundamental - Con't
Think About Control Fundamentals Training Terminology Control Eko Harsono eko.harsononus@gmail.com; 1 Contents Topics: Slide No: Advance Control Loop 3-10 Control Algorithm 11-25 Control System 26-32 Exercise
More informationPROCESS DYNAMICS AND CONTROL
PROCESS DYNAMICS AND CONTROL CHBE306, Fall 2017 Professor Dae Ryook Yang Dept. of Chemical & Biological Engineering Korea University Korea University 1-1 Objectives of the Class What is process control?
More informationPROCESS DYNAMICS AND CONTROL
Objectives of the Class PROCESS DYNAMICS AND CONTROL CHBE320, Spring 2018 Professor Dae Ryook Yang Dept. of Chemical & Biological Engineering What is process control? Basics of process control Basic hardware
More informationImprove Safety and Reliability with Dynamic Simulation
Improve Safety and Reliability with Dynamic Simulation M. A. K. Rasel and P. C. Richmond Department of Chemical Engineering, Lamar University, Beaumont, TX 77710 0053; PEYTON.RICHMOND@lamar.edu (for correspondence)
More informationTop 10 Questions About Aspen HYSYS Dynamics FAQ
Top 10 Questions About Aspen HYSYS Dynamics FAQ 1. I already have my equipment modeled in steady state with Aspen HYSYS. Do I need to recreate it from scratch in Aspen HYSYS Dynamics? No, Aspen HYSYS Dynamics
More informationFeedforward and Ratio Control
Feedforward and Ratio ISA Mentor Program Presentation by: Gregory K. McMillan Standards Certification Education & Training Publishing Conferences & Exhibits Presenter Gregory K. McMillan is a retired Senior
More informationMM7 Practical Issues Using PID Controllers
MM7 Practical Issues Using PID Controllers Readings: FC textbook: Section 4.2.7 Integrator Antiwindup p.196-200 Extra reading: Hou Ming s lecture notes p.60-69 Extra reading: M.J. Willis notes on PID controler
More informationPID control. since Similarly, modern industrial
Control basics Introduction to For deeper understanding of their usefulness, we deconstruct P, I, and D control functions. PID control Paul Avery Senior Product Training Engineer Yaskawa Electric America,
More informationINTRODUCTION TO PROCESS ENGINEERING
Training Title INTRODUCTION TO PROCESS ENGINEERING Training Duration 5 days Training Venue and Dates Introduction to Process Engineering 5 12 16 May $3,750 Abu Dhabi, UAE In any of the 5 star hotel. The
More informationPID Tuning Case Study Tuning Level controller using a priori knowledge 1
1 1. Introduction Tuning level controllers can be a challenging task. When you have identified a proper ramp model, this this task becomes much easier when using Aptitune. Identifying a good ramp model
More informationOptimize Your Process Using Normal Operation Data
Optimize Your Process Using Normal Operation Data Michel Ruel, PE Top Control, Inc. 49, rue du Bel-Air, bur.103, Lévis, QC G6V 6K9, Canada Phone +1.418.834.2242, michel.ruel@topcontrol.com Henri (Hank)
More informationApplication of a FOUNDATION Fieldbus System at the. Gas-mixing Station of Wuhan Iron and Steel Co.
Foundation Fieldbus End User Council February 27 & 28, 2003 Singapore Application of a FOUNDATION Fieldbus System at the Gas-mixing Station of Wuhan Iron and Steel Co. Abstract Dai Xianghong Instrument
More informationTrends that are shaping the future of process automation
Trends that are shaping the future of process automation Ian Craig Department of Electrical, Electronic and Computer Engineering University of Pretoria South Africa 1 Contents Trends Impact of the second
More informationPID Tuning Guide. For the Allen-Bradley Family of PLCs. A Best-Practices Approach to Understanding and Tuning PID Controllers
PID Tuning Guide For the Allen-Bradley Family of PLCs A Best-Practices Approach to Understanding and Tuning PID Controllers First Edition by Robert C. Rice, PhD Table of Contents 2 Forward 3 The PID Controller
More informationCHBE320 LECTURE XI CONTROLLER DESIGN AND PID CONTOLLER TUNING. Professor Dae Ryook Yang
CHBE320 LECTURE XI CONTROLLER DESIGN AND PID CONTOLLER TUNING Professor Dae Ryook Yang Spring 2018 Dept. of Chemical and Biological Engineering 11-1 Road Map of the Lecture XI Controller Design and PID
More informationDesign of an Intelligent Pressure Control System Based on the Fuzzy Self-tuning PID Controller
Design of an Intelligent Pressure Control System Based on the Fuzzy Self-tuning PID Controller 1 Deepa S. Bhandare, 2 N. R.Kulkarni 1,2 Department of Electrical Engineering, Modern College of Engineering,
More informationDifferent Controller Terms
Loop Tuning Lab Challenges Not all PID controllers are the same. They don t all use the same units for P-I-and D. There are different types of processes. There are different final element types. There
More informationRelay Feedback based PID Controller for Nonlinear Process
Relay Feedback based PID Controller for Nonlinear Process I.Thirunavukkarasu, Dr.V.I.George, * and R.Satheeshbabu Abstract This work is about designing a relay feedback based PID controller for a conical
More informationDecoupling control loops using ExperTune software
Decoupling control loops using ExperTune software Theory, diagnosis, and practical considerations Bernardo Soares Torres, M.Sc. (ATAN) Lívia Camargos R. de Oliveira (ATAN) Topics to be covered in this
More information-binary sensors and actuators (such as an on/off controller) are generally more reliable and less expensive
Process controls are necessary for designing safe and productive plants. A variety of process controls are used to manipulate processes, however the most simple and often most effective is the PID controller.
More informationFundamentals of Instrumentation & Process Control
Fundamentals of Instrumentation & Process Control NIMISH SHAH Fundamentals of Instrumentation & Control Instrumentation Process Control 2 1 Introduction to Process Control 3 Introduction to Process Control
More informationPID Tuning Case Study PID Tuning for Gas Processing facility Al-Khafji Joint Operations (KJO) in Saudi Arabia 1 1. Introduction
Al-Khafji Joint Operations (KJO) in Saudi Arabia 1 1. Introduction Al-Khafji Joint Operations (KJO) in the Kingdom of Saudi Arabia operates a gas processing facility to treat the associated gas from the
More informationControl Architectures: Feed Forward, Feedback, Ratio, and Cascade By Peter Woolf University of Michigan
Control Architectures: Feed Forward, Feedback, Ratio, and Cascade By Peter Woolf (pwoolf@umich.edu) University of Michigan Michigan Chemical Process Dynamics and Controls Open Textbook version 1.0 Creative
More informationThink About Control Fundamentals Training. Terminology Control. Eko Harsono Control Fundamental
Think About Control Fundamentals Training Terminology Control Eko Harsono eko.harsononus@gmail.com; 1 Contents Topics: Slide No: Process Control Terminology 3-10 Control Principles 11-18 Basic Control
More information2.1 PID controller enhancements
2. Single-Loop Enhancements 2.1 PID controller enhancements 2.1.1 The ideal PID controller 2.1.2 Derivative filter 2.1.3 Setpoint weighting 2.1.4 Handling integrator windup 2.1.5 Industrial PID controllers
More informationResearch Article 12 Control of the Fractionator Top Pressure for a Delayed Coking Unit in Khartoum Refinery
Research Article 12 Control of the Fractionator Top Pressure for a Delayed Coking Unit in Khartoum Refinery Salah Eldeen F..Hegazi 1, Gurashi Abdallah Gasmelseed 2, Mohammed M.Bukhari 3 1 Department of
More informationAutomatic Controller Dynamic Specification (Summary of Version 1.0, 11/93)
The contents of this document are copyright EnTech Control Engineering Inc., and may not be reproduced or retransmitted in any form without the express consent of EnTech Control Engineering Inc. Automatic
More informationSTANDARD TUNING PROCEDURE AND THE BECK DRIVE: A COMPARATIVE OVERVIEW AND GUIDE
STANDARD TUNING PROCEDURE AND THE BECK DRIVE: A COMPARATIVE OVERVIEW AND GUIDE Scott E. Kempf Harold Beck and Sons, Inc. 2300 Terry Drive Newtown, PA 18946 STANDARD TUNING PROCEDURE AND THE BECK DRIVE:
More informationIntroduction to Regulatory and Advanced Process Control Course
Page 1 of 6 Rev 1.0 Introduction Introduction to Regulatory and dvanced Process ontrol ourse The success of every company depends of each employee's understanding of the business's key components. Employee
More informationSIMULATION IMPROVES OPERATOR TRAINING ARTICLE FOR SEP/OCT 2011 INTECH
SIMULATION IMPROVES OPERATOR TRAINING ARTICLE FOR SEP/OCT 2011 INTECH Table of Contents teaser: Although simulation is the best training method for preventing accidents and improving process control, until
More informationBINARY DISTILLATION COLUMN CONTROL TECHNIQUES: A COMPARATIVE STUDY
BINARY DISTILLATION COLUMN CONTROL TECHNIQUES: A COMPARATIVE STUDY 1 NASSER MOHAMED RAMLI, 2 MOHAMMED ABOBAKR BASAAR 1,2 Chemical Engineering Department, Faculty of Engineering, Universiti Teknologi PETRONAS,
More informationClass 5. Competency Exam Round 1. The Process Designer s Process. Process Control Preliminaries. On/Off Control The Simplest Controller
Class 5 Competency Exam Round 1 Proportional Control Starts Friday, September 17 Ends Friday, October 1 Process Control Preliminaries The final control element, process and sensor/transmitter all have
More informationA M E M B E R O F T H E K E N D A L L G R O U P
A M E M B E R O F T H E K E N D A L L G R O U P Basics of PID control in a Programmable Automation Controller Technology Summit September, 2018 Eric Paquette Definitions-PID A Proportional Integral Derivative
More informationModel Predictive Controller Design for Performance Study of a Coupled Tank Process
Model Predictive Controller Design for Performance Study of a Coupled Tank Process J. Gireesh Kumar & Veena Sharma Department of Electrical Engineering, NIT Hamirpur, Hamirpur, Himachal Pradesh, India
More information2013 Honeywell Users Group Americas. Andy Nichols, Bob Zapata Effective Use of Large Screen Technology Using Visual Thesaurus Shapes
2013 Honeywell Users Group Americas Andy Nichols, Bob Zapata Effective Use of Large Screen Technology Using Visual Thesaurus Shapes 1 Outline Introductions Aspects of Situation Awareness and Display Challenges
More informationCohen-coon PID Tuning Method; A Better Option to Ziegler Nichols-PID Tuning Method
Cohen-coon PID Tuning Method; A Better Option to Ziegler Nichols-PID Tuning Method Engr. Joseph, E. A. 1, Olaiya O. O. 2 1 Electrical Engineering Department, the Federal Polytechnic, Ilaro, Ogun State,
More informationDeltaV v11 PID Enhancements for
Aug 2010 Page 1 DeltaV v11 PID Enhancements for Wireless This document describes how enhancements to the PID block for wireless loops in DeltaV v11 improve performance, simplify tuning, and inherently
More informationInternational Journal of Research in Advent Technology Available Online at:
OVERVIEW OF DIFFERENT APPROACHES OF PID CONTROLLER TUNING Manju Kurien 1, Alka Prayagkar 2, Vaishali Rajeshirke 3 1 IS Department 2 IE Department 3 EV DEpartment VES Polytechnic, Chembur,Mumbai 1 manjulibu@gmail.com
More informationLevel control drain valve tuning. Walter Bischoff PE Brunswick Nuclear Plant
Level control drain valve tuning Walter Bischoff PE Brunswick Nuclear Plant Tuning Introduction Why is it important PI and PID controllers have been accepted throughout process design and all forms of
More informationSimcon, Inc. 80 Days to Operator Competency
Simcon, Inc. North AmericanTrainingServices 80 Days to Operator Competency FCC Conference League City, Texas April 12 16 Sulfur Conference League City, Texas April 14 16 Coking Conference Galveston, Texas
More informationSUCCESSFUL METHODOLOGY TO SELECT ADVANCED CONTROL APPROACH Standards Certification Education & Training Publishing Conferences & Exhibits
SUCCESSFUL METHODOLOGY TO SELECT ADVANCED CONTROL APPROACH Standards Certification Education & Training Publishing Conferences & Exhibits Presenter Michel Ruel, P.Eng., Founder and President of TOP Control
More informationProcess Monitoring and Loop Prioritization Can Reap Big Payback and Benefit Process Plants
Process Monitoring and Loop Prioritization Can Reap Big Payback and Benefit Process Plants John Gerry, P.E. ExperTune Inc Hubertus, WI www.expertune.com Presented at ISA2002, Chicago, IL October, 2002
More informationQuickBuilder PID Reference
QuickBuilder PID Reference Doc. No. 951-530031-006 2010 Control Technology Corp. 25 South Street Hopkinton, MA 01748 Phone: 508.435.9595 Fax: 508.435.2373 Thursday, March 18, 2010 2 QuickBuilder PID Reference
More informationEffective Use of PID Features for Loop Performance and Optimization. Greg McMillan CDI Process & Industrial Hector Torres Solutia Inc.
Effective Use of PID Features for Loop Performance and Optimization Greg McMillan CDI Process & Industrial Hector Torres Solutia Inc. Photography & Video Recording Policy Photography and audio/video recording
More informationFundamentals of Industrial Control
Fundamentals of Industrial Control 2nd Edition D. A. Coggan, Editor Practical Guides for Measurement and Control Preface ix Contributors xi Chapter 1 Sensors 1 Applications of Instrumentation 1 Introduction
More information6.4 Adjusting PID Manually
Setting Display Parameter Setting Display Operation Display > PARAMETER or PARA key for 3 seconds (to [MODE] Menu Display) > Right arrow key (to [PID] Menu Display ) > SET/ENTER key (The setting parameter
More informationMETHODOLOGY FOR REDUCING THE CONTROL LOOPS OSCILLATION AT AN IRON ORE PROCESSING PLANT
METHODOLOGY FOR REDUCING THE CONTROL LOOPS OSCILLATION AT AN IRON ORE PROCESSING PLANT Lúcio Fábio Passos 1 lucio.passos@atan.com.br Bernardo Soares Torres 1 bernardo.torres@atan.com.br Vicentino José
More informationI/A Series Software. Extended Proportional-Integral-Derivative (PIDX) Controller PSS 21S-3F3 B4 OVERVIEW PRODUCT SPECIFICATIONS
PRODUCT SPECIFICATIONS I/A Series Software PSS 21S-3F3 B4 Extended Proportional-Integral-Derivative (PIDX) Controller The Extended Proportional-Integral-Derivative (PIDX) block adds batch control, a sample-data
More informationDigital Control of MS-150 Modular Position Servo System
IEEE NECEC Nov. 8, 2007 St. John's NL 1 Digital Control of MS-150 Modular Position Servo System Farid Arvani, Syeda N. Ferdaus, M. Tariq Iqbal Faculty of Engineering, Memorial University of Newfoundland
More informationHybrid controller to Oscillation Compensator for Pneumatic Stiction Valve
Original Paper Hybrid controller to Oscillation Compensator for Pneumatic Stiction Valve Paper ID: IJIFR/ V2/ E1/ 011 Pg. No: 10-20 Research Area: Process Control Key Words: Stiction, Oscillation, Control
More informationRobust optimization-based multi-loop PID controller tuning: A new tool and an industrial example
Robust optimization-based multi-loop PID controller tuning: A new tool and an industrial example Michael Harmse*, Richard Hughes**, Rainer Dittmar*** Harpreet Singh* and Shabroz Gill* *IPCOSAptitude Ltd.,
More informationController Algorithms and Tuning
The previous sections of this module described the purpose of control, defined individual elements within control loops, and demonstrated the symbology used to represent those elements in an engineering
More informationRequirements for Successfully Implementing and Sustaining Advanced Control Applications
Requirements for Successfully Implementing and Sustaining Advanced Control Applications Authors Jacques F. Smuts 1, Aaron Hussey 2 1 OptiControls Inc, League City, Texas 2 Electric Power Research Institute
More informationNor-Par a.s. The Nor-Par Online s Training Simulator & Optimisation Suite. Beyond the traditional concepts. The software. Two main approaches
The Nor-Par Online s Training Simulator & Optimisation Suite Beyond the traditional concepts The Nor-Par Online s Training Simulator & Optimisation Suite offers far more than just an Operator Training
More informationBasic Tuning for the SERVOSTAR 400/600
Basic Tuning for the SERVOSTAR 400/600 Welcome to Kollmorgen s interactive tuning chart. The first three sheets of this document provide a flow chart to describe tuning the servo gains of a SERVOSTAR 400/600.
More informationControl of a Double -Effect Evaporator using Neural Network Model Predictive Controller
Control of a Double -Effect Evaporator using Neural Network Model Predictive Controller 1 Srinivas B., 2 Anil Kumar K., 3* Prabhaker Reddy Ginuga 1,2,3 Chemical Eng. Dept, University College of Technology,
More informationClosed Loop Control System. Controllers. Analog Controller. Prof. Dr. M. Zahurul Haq
Closed Loop Control System Prof. Dr. M. Zahurul Haq http://teacher.buet.ac.bd/zahurul/ Department of Mechanical Engineering Bangladesh University of Engineering & Technology ME 6401: Advanced Mechatronics
More informationA Rule Based Design Methodology for the Control of Non Self-Regulating Processes
contents A Rule Based Design Methodology for the Control of Non Self-Regulating Processes Robert Rice Research Assistant Dept. Of Chemical Engineering University of Connecticut Storrs, CT 06269-3222 Douglas
More informationCHAPTER 2 PID CONTROLLER BASED CLOSED LOOP CONTROL OF DC DRIVE
23 CHAPTER 2 PID CONTROLLER BASED CLOSED LOOP CONTROL OF DC DRIVE 2.1 PID CONTROLLER A proportional Integral Derivative controller (PID controller) find its application in industrial control system. It
More informationUser s Manual. Model US1000 Digital Indicating Controller Functions. IM 5D1A01-02E 2nd Edition IM 5D1A01-02E
User s Manual Model US1000 Digital Indicating Controller Functions 2nd Edition Introduction This instruction manual describes the functions of the US1000 Digital Indicating Controller in detail. Read
More informationEssential Technologies for Energy Efficiency and Management
Essential Technologies for Energy Efficiency and Management Christoph Wimmer christoph.wimmer@ni.com 425-301-6153 30 Years of Engineering Trends, Challenges, and Milestones 1980 1990 2000 2010 Why more
More informationCHAPTER 4 PID CONTROLLER BASED SPEED CONTROL OF THREE PHASE INDUCTION MOTOR
36 CHAPTER 4 PID CONTROLLER BASED SPEED CONTROL OF THREE PHASE INDUCTION MOTOR 4.1 INTRODUCTION Now a day, a number of different controllers are used in the industry and in many other fields. In a quite
More informationComparison that shows the differences between a PFD and P&ID :
Comparison that shows the differences between a PFD and P&ID : PFD P&ID Used during construction? No Yes* Shows all process and service piping? No Yes Indicates presence of all controls? No Yes Shows all
More informationPID500 FULL FEATURED PID TEMPERATURE CONTROLLERS
PID500 FULL FEATURED PID TEMPERATURE CONTROLLERS DESCRIPTION FEATURES * Compact Size: 1/16 DIN * Dual LED displays for simultaneous indication of process temperature and set point (Lower display selectable
More informationConfiguration Example of Temperature Control
Controllers Technical Information Configuration Example of Control controllers The following is an example of the configuration of temperature control. Controller Relay Voltage Current SSR Cycle controller
More informationAD-4826 AD G/200G/500G. For high-speed, highly accurate continuous feeding of powder and dry solids. Model predictive feeder controller
Patent pending For high-speed, highly accurate continuous feeding of powder and dry solids AD-4826 Model predictive feeder controller AD-4826-30G/200G/500G Vibratory feeder http://www.aandd.jp Model predictive
More informationADVANCED PROCESS CONTROL IN SHELL
ADVANCED PROCESS CONTROL IN SHELL 1978-Present Use this area for cover image (height 6.5cm, width 8cm) Freek van Dijk Team Leader Process Control Shell Global Solutions International B.V. Dec 2011 1 DEFINITIONS
More informationPetersson, Mikael; Årzén, Karl-Erik; Sandberg, Henrik; de Maré, Lena
Implementation of a Tool for Control Structure Assessment Petersson, Mikael; Årzén, Karl-Erik; Sandberg, Henrik; de Maré, Lena Published in: Proceedings of the 15th IFAC world congress Link to publication
More informationF. Greg Shinskey. "PID Control." Copyright 2000 CRC Press LLC. <
F. Greg Shinskey. "PID Control." Copyright 2000 CRC Press LLC. . PID Control F. Greg Shinskey Process Control Consultant 97.1 Introduction 97.2 Open and Closed Loops Open-Loop
More informationTAKING DIAGNOSTICS TO THE NEXT LEVEL ENDRESS+HAUSER
TAKING DIAGNOSTICS TO THE NEXT LEVEL ENDRESS+HAUSER The FOUNDATION fieldbus specification was created from the ground up to allow suppliers to add their own competitive advantage to the technology. At
More informationDESIGN OF PID CONTROLLERS INTEGRATOR SYSTEM WITH TIME DELAY AND DOUBLE INTEGRATING PROCESSES
DESIGN OF PID CONTROLLERS INTEGRATOR SYSTEM WITH TIME DELAY AND DOUBLE INTEGRATING PROCESSES B.S.Patil 1, L.M.Waghmare 2, M.D.Uplane 3 1 Ph.D.Student, Instrumentation Department, AISSMS S Polytechnic,
More informationProcess Equipment Troubleshooting
Page 1 of 6 Introduction Process Equipment Troubleshooting The success of every company depends of each employee's understanding of the key business components. Employee training and development will unlock
More information2. Basic Control Concepts
2. Basic Concepts 2.1 Signals and systems 2.2 Block diagrams 2.3 From flow sheet to block diagram 2.4 strategies 2.4.1 Open-loop control 2.4.2 Feedforward control 2.4.3 Feedback control 2.5 Feedback control
More informationProcess controls in food processing
Process controls in food processing Module- 9 Lec- 9 Dr. Shishir Sinha Dept. of Chemical Engineering IIT Roorkee A well designed process ought to be easy to control. More importantly, it is best to consider
More informationBASIC PROCESS INSTRUMENTATION & CONTROL
Training Title BASIC PROCESS INSTRUMENTATION & CONTROL Training Duration 5 days Training Venue and Dates Basic Process Instrumentation & Control 501 05 Sep $3,750 Abu Dhabi, UAE In any of the 5 star hotels.
More informationAchieving Operational Excellence with Information Technology
Achieving Operational Excellence with Information Technology by Lawrence B. Evans Chairman Aspen Technology, Inc. New Orleans Meeting of the AIChE March 31, 2003 2003 AspenTech. All Rights Reserved. Outline
More informationInstrumentationTools.com
Author: Instrumentation Tools Categories: Control Systems Ziegler-Nichols Closed-Loop Method (Ultimate Gain) Closed-loop refers to the operation of a control system with the controlling device in automatic
More informationin high pressure systems, and this can often lead to manifestation of stiction. In an operational facility it is not always possible to address the va
5]. Managing the Performance of Control Loops with Valve Stiction: An Industrial Perspective Rohit S. Patwardhan a, Talal Bakri a, Feras Al-Anazi b and Timothy J. Schroeder b Abstract Valve stiction is
More informationA Case Study of GP and GAs in the Design of a Control System
A Case Study of GP and GAs in the Design of a Control System Andrea Soltoggio Department of Computer and Information Science Norwegian University of Science and Technology N-749, Trondheim, Norway soltoggi@stud.ntnu.no
More informationChE 4162 Control Laboratory Methodologies Fall Control Laboratory Methodologies
Control Laboratory Methodologies Edited by: HJT from Material by DBM 1/11 9/23/2016 1. Introduction There seem to be about as many ways to study and tune control systems as there are control engineers.
More informationKey Learning experiences from a large PlantTriage Installation
Key Learning experiences from a large PlantTriage Installation By Phil Fedenzcuk Control Engineer Ineos Grangemouth Scotland. Presented by: Peter Thomas Control Specialists Ltd - UK Authorized Solution
More informationAnti Windup Implementation on Different PID Structures
Pertanika J. Sci. & Technol. 16 (1): 23-30 (2008) SSN: 0128-7680 Universiti Putra Malaysia Press Anti Windup mplementation on Different PD Structures Farah Saleena Taip *1 and Ming T. Tham 2 1 Department
More informationCover. Signal Smoothing-in-Control-Loops SIMATIC PCS 7. Application Note September Applikationen & Tools. Answers for industry.
Cover SIMATIC PCS 7 Application Note September 2010 Applikationen & Tools Answers for industry. Industry Automation and Drives Technologies Service & Support Portal This article is taken from the Service
More informationFieldbus Foundation India Committee. Control In the Field
Fieldbus Foundation India Committee Control In the Field Date : 9 December 2011 Time : 9.00 to 17.30 hrs Venue : Hotel Express Residency Jamnagar, India Presented by : Jigish Jepal E-mail ID : jigish.jepal@in.yokogawa.com
More informationONLINE ESTIMATOR FOR DISTILLATION COLUMN USING ANN. Vijander Singh* Indra Gupta Puneet Gulati H.O Gupta
ONLINE ESTIMATOR FOR DISTILLATION COLUMN USING ANN Vijander Singh* Indra Gupta Puneet Gulati H.O Gupta Department of Electrical Engineering Indian Institute of Technology Roorkee, Roorkee, Uttaranchal,
More informationBrainWave Control solutions for the panelboard industry
BrainWave Control solutions for the panelboard industry www.andritz.com We accept the challenge! The challenge: To control your mill so that it runs at peak efficiency The solution: Measure. Control. And
More informationPractical Tuning of Industrial Control Loops
Presents Practical Tuning of Industrial Control Loops Revision 7 Web Site: www.idc-online.com E-mail: idc@idc-online.com Copyright All rights to this publication, associated software and workshop are reserved.
More information