IMPROVE PLANT PROFITS WITH NOVEL PROCESS CONTROL. New Generation PID Tuning and Advanced Process Control Software

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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

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