Laboratory Experiences to Hands on
|
|
|
- Carmel Kelley
- 5 years ago
- Views:
Transcription
1 Complementary Simulation i and Remote Laboratory Experiences to Hands on Control lsystems Curriculum Dr. Daniel Cox Professor of Mechanical Engineering g University of North Florida Jacksonville Florida USA INTERNATIONAL CONFERENCE ON ENGINEERING EDUCATION ICEE GLIWICE, POLAND Zeynep Meric UNF Research Assistant Jacksonville, Florida USA Dr. Rainer Bartz Cologne University of Applied Sciences Cologne, Germany Christof Ctistis CUAS Research Assistant Cologne, Germany
2 Outline Background Florida s First Coast Manufacturing Innovation Partnership (MIP) Collaboration with Cologne University of Applied Sciences (CUAS), International Research and Education in Engineering (IREE) Grant, and ongoing collaboration RLab Overview, Implementation, Continuous Improvement, and Usage
3 Florida s First Coast
4 Florida s First Coast MIP Manufacturing Innovation Partnership Educate students through engineering practice Assist in the economic and technical development of the Northeast Florida Region through hintegrated engineering i design and manufacture Over 20 Partnership Projects primarily with Regional Industry Expand from regional to national and international collaborations
5 Laboratories Manufacturing and Machine Sciences Laboratory Primarily Teaching Laboratory Robotics and Automation Laboratory Primarily Applied R&D Laboratory
6 Manufacturing and Machine Sciences Laboratory Computer Controlled Machinery Dynamic Modeling and Analysis Advanced Controls Modal Analysis Metrology Mechanisms Machine Theory
7 Robotics and Automation Laboratory Robotics Research and Applications Dynamic Systems Modeling andanalysis Control Systems and Instrumentation Sensor Integration Dual Arm and Multiple Manipulator Systems Simulation Application Development Biomedical and BCI Robotics (Brain Computer Interface with Robotics) Project
8 Project Centered Module (PCM) Paradigm Machine Sciences Curriculum Develop and test new theories and knowledge about teaching and hands on learning through development of the PCMs to engage students in processes and exploration of scientific and engineering principles Design and develop tools, materials, and methods through h implementation of the PCMs to enhance learning through hands on instructional technology Develop an innovative instructional model by distribution and application the PCMs across an array of courses and research projects in machine sciences
9 Project Centered Module Level I Curriculum (PCM) Motivational Demonstrations Level II Curriculum Laboratory Exercises Level III Curriculum Individual Projects Group Projects Level III Advanced Graduate and Research Topics
10 UNF Hardware Resources ECP Systems 205 Torsional Plant (x2) 210 Rectilinear Plant (X2) 220 Industrial Plant (X3) 750 Gyroscope (1) Robots Staubli TX40 Robots with CS8 controllers (X2) Staubli RX60CR Robots (X2) AdeptOne Robot
11 Software Resources General use software MatLab MatLab Toolboxes Simulink LabView ECP Software C and C++ Robotic software RoboWorks VAL 3
12 ECP 205 Torsional Plant Electromechanical system One to three degree of rotational freedom
13 ECP 210 Rectilinear Plant Electromechanical system One to three degree of translational freedom
14 ECP 205 and 210 Experiments Plant Identification & Dynamic Model Building Second Order Systems Rigid iidbody PD and PID Control Fundamental Open & Closed Loop Properties (second order systems, transient and frequency responses, rigid & flexible bodies, mode shapes & frequencies, time & frequency domain correlation) Phase & Gain Margin Nyquist Stability Root Locus Design Sensitivity to Parameter Changes Control Robustness Tracking Control Disturbance Rejection Tracking Control Flexible Structure Control Practical lcontrol li Issues (drive saturation, sensor quantization, i discrete time sampling, custom control execution)
15 ECP 220 Industrial Plant Mostofexperiments of of205and 210, in addition Gear Ratio & Inertia Changes Friction Backlash Drive Flexibility Drive Saturation Sensor Quantization Discrete Time Sampling
16 ECP 750 Control Moment Gyroscope Plant Plant Identification & Dynamic Model Building Gyroscopic Dynamics: Nutation & Precession Reaction Torque Control Second Order System Fundamentals Gyroscopic Control Multi variable Control Dynamic Tracking Control of SISO, SIMO, and MIMO systems
17 Target ME Courses for PCMs EGN 3203 Modern Computational Methods EGN 3321 Dynamics EML 4312Modeling and Analysis of DynamicSystems EML 4313 Control of Machines and Processes EML 4301L Mechanical Systems Laboratory EML 4804 Mechatronics EML 4806 Robotics Engineering I EML 4990ProductionSystems Engineering EGN 5991 Advanced Control Systems
18 Equipment and PCM by Course PCM Equipment EGN 3203 EGN 3321 EML 4301L EML 4312 EML 4313 EML 4804 EML 4806 EML 4990 Staubli Robots II, III III EGN 5991 AdeptOne I I II, III II, III III Modular Robotics I I II II, III II, III II, III III Industrial Drives I II II, III II, III II, III II, III II, III II, III ECP 205 I I II II, III II, III II, III II, III ECP 210 I I II II, III II, III II, III II, III ECP 220 I I II II, III II, III II, III II, III ECP 750 I II II, III II, III II, III II, III II, III
19 Laboratories and PCMs Manufacturing and Machine Si Sciences Lb Laboratory Primarily Teaching Laboratory Levels I, II and III PCM activity Robotics and Automation Laboratory Primarily Applied R&D Laboratory Level III PCM activity Activity to expand global reach
20 CUAS Collaboration Curriculum Development Develop Level lii and III PCMs for undergraduate d curricula Using CUAS plants Using UNF ECP plants Advanced Control Topics for students in Master s s Program Infrastructure Development (RLab) Integrate RLab with ECP plants RLab: LabView based based infrastructure for Remote Experiments Control Plants with LabView and RLab Cultural Enhancement and Experience with German Culture
21 Extending the PCM Concept through International Collaboration PCM Development Advanced Control Topics Infrastructure Development (RLab) Cultural Experience and Exchange
22 PCM Development Develop Project Centered dmodules (PCMs) PID Control of Heater Fan, Twin Rotor, and Inverted Pendulum Using RLab Student Instruction Guide TA Manual Use CUAS Plants at UNF via RLab RLab Capability Ported to UNF Integrate ECP Plants at UNF with RLab
23 RLab Infrastructure Development RLab uses LabVIEW as major component Login Server Database Server Experiment Server Learn RLab Subsystems Upgrade RLab from LabVIEW 61to Upgrade to LabVIEW 8.6 and beyond
24 Cultural Enhancement IREE Program month immersion Daily interaction with German students, faculty, and staff Six UNF students participated Live in Cologne Technology Transfer of RLab
25 Cultural Enhancement for Students
26 What is Rlab? Remote Lb Laboratory Allows a user from any location to access and perform a variety of experiments on electromechanical systems This extends pool of PCMs for curricula LabVIEW Uses Internet and Database Toolkits Interacts with control systems
27 RLab Structure
28 RLab Website Features Login process Must register and be accepted by the admin Booking time Reserve a checkout time for a plant Ensures only one user per system Navigation of different systems and experiments Previous results Revisit the output graphs from previous experiments Transformational Learning Opportunity
29 Login Server Contains the database Login information Booking times Previous results Generates homepage pg Uses LabVIEW database toolkit Checks passwords Error checks booking times
30 Login Servers CUAS and UNF
31 Experiment Server Contains the webcam for the experiment Generates the experiment webpages Reads input values from database dtb Places them into I/O hardware cards Obtains output from plants sensors Creates response plots Multipleexperiment experiment servers One for each plant
32 CUAS Control System Plants 3 Experiment Servers in Germany Twin Rotor MIMO system Vertical and Horizontal fans Heater Fan MISO system Control input current and fan speed Inverted Pendulum SIMO system Control cart position
33 UNF Control Systems Education Control Products (ECP) ECP 205 Rotational Plant ECP 210 Rectilinear Plant ECP 220 Industrial Plant ECP 750 Gyroscope
34 Additional Servers 2 Remaining Servers Observer Server Showed server status Whether it is online or offline If the control system was booked or not Real Time Server Generates response plots
35 Evaluation Methods Comparison to baseline of course without PCMs Student evaluation and survey feedback Feedback fromindustry and otheracademic and professional users
36 Curriculum Integration Existing Hands onpcms In EML 4301L Mechanical Systems Laboratory Make use of ECP Plants and Dynamic Systems and Control Experiments Add Simulation PCMs using MatLab and Simulink Add correlating PCMs with Simulation and CUAS Plants Add Remote Laboratory PCMs using RLab
37 Simulation PCMs Simulate using MatLab and Simulink Use plant parameters for CUAS Twin Rotor Simulate system off line as a PCM exercise
38 RLab PCMs Use Twin Rotor Plant located at CUAS in Germany Login during laboratory time at UNF in USA to use Plant in Germany Perform Remote Lb Laboratory Experiments Student Surveys of Educational Experiences Continuous Improvement Process
39 Response to Simulation Example question: MatLab/Simulink is a great tool to use for understanding control systems
40 Response to Simulation Example question: Theresults obtained from RLab experiment matched with the simulations done by using MatLab and/or Simulink
41 Response to RLab Example question: RLab is Very Interesting Example question: RLab is Very Interesting to Work With
42 Ongoing Activities with RLab Incorporate additional plants ECP 205 and 210 integrated Further integrate ECP 220 and 750 Add more experiments for each plant Use RLab for remote experiments UNF students to use CUAS plants via RLab first used in Fall 2009 semester in EML 4301L Use RLab subsequently in EML 4301L Fall Semester CUAS students to use UNF CUAS plants via RLab planned Extend from electro mechanical experiments to robotics
43 Summary MIP Program extended to International collaboration with CUAS RLab capability at CUAS ported to UNF and upgraded with latest versions of LabVIEW ECP plants at UNF accessible via RLab Gaining experience in using RLab in curriculum Ongoing expansion of experiments and capabilities Evaluation methods are included for continuous improvement Two CUAS exchange students to study and collaborate at UNF for 1 year beginning Fall 2010
44 Acknowledgements S f h l f I f i di d l i l Support of the Faculty of Information, Media, and Electrical Engineering (IME) of Cologne University of Applied Sciences (CUAS) Florida s First Coast MIP NSF Grant IREE Computational Intelligence for Intelligent Control of Machinery and Manufacturing Processes NSF Grant UNF School of Engineering and State of Florida Cortelius Equipment Funding UNF Transformational Learning Opportunity (TLO) Grant for Germany cultural excursions
45 Questions?
Control Design for Servomechanisms July 2005, Glasgow Detailed Training Course Agenda
Control Design for Servomechanisms 12 14 July 2005, Glasgow Detailed Training Course Agenda DAY 1 INTRODUCTION TO SYSTEMS AND MODELLING 9.00 Introduction The Need For Control - What Is Control? - Feedback
Biomedical Control Systems. Lecture#01
1 Biomedical Control Systems Lecture#01 2 Text Books Modern Control Engineering, 5 th Edition; Ogata. Feedback & Control Systems, 2 nd edition; Schaum s outline, Joseph J, Allen R. Control Systems Engineering,
Building a comprehensive lab sequence for an undergraduate mechatronics program
Building a comprehensive lab sequence for an undergraduate mechatronics program Tom Lee Ph.D., Chief Education Officer, Quanser MECHATRONICS Motivation The global engineering academic community is witnessing
Quanser Products and solutions
Quanser Products and solutions with NI LabVIEW From Classic Control to Complex Mechatronic Systems Design www.quanser.com Your first choice for control systems experiments For twenty five years, institutions
Figure 1: Unity Feedback System. The transfer function of the PID controller looks like the following:
Islamic University of Gaza Faculty of Engineering Electrical Engineering department Control Systems Design Lab Eng. Mohammed S. Jouda Eng. Ola M. Skeik Experiment 3 PID Controller Overview This experiment
EE 482 : CONTROL SYSTEMS Lab Manual
University of Bahrain College of Engineering Dept. of Electrical and Electronics Engineering EE 482 : CONTROL SYSTEMS Lab Manual Dr. Ebrahim Al-Gallaf Assistance Professor of Intelligent Control and Robotics
Automated Industrial Wind Tunnel Network Control with LabVIEW. Matt Draear
Automated Industrial Wind Tunnel Network Control with LabVIEW Matt Draear Advisor: Dr. Malinowski 1 Presentation Outline Overview of Old Hardware Overview of New Hardware Details of New Hardware FPGA LabVIEW
AC : ENHANCING MECHATRONICS EDUCATION USING MODEL- BASED TECHNIQUES AND MATHWORKS TOOLS
AC 211-931: ENHANCING MECHATRONICS EDUCATION USING MODEL- BASED TECHNIQUES AND MATHWORKS TOOLS Farzad Pourboghrat, Southern Illinois University Farzad Pourboghrat received his Ph.D. degree in Electrical
Embedded Robust Control of Self-balancing Two-wheeled Robot
Embedded Robust Control of Self-balancing Two-wheeled Robot L. Mollov, P. Petkov Key Words: Robust control; embedded systems; two-wheeled robots; -synthesis; MATLAB. Abstract. This paper presents the design
Section 2 Lab Experiments
Section 2 Lab Experiments Section Overview This set of labs is provided as a means of learning and applying mechanical engineering concepts as taught in the mechanical engineering orientation course at
ME451: Control Systems. Course roadmap
ME451: Control Systems Lecture 20 Root locus: Lead compensator design Dr. Jongeun Choi Department of Mechanical Engineering Michigan State University Fall 2008 1 Modeling Course roadmap Analysis Design
Teaching Mechanical Students to Build and Analyze Motor Controllers
Teaching Mechanical Students to Build and Analyze Motor Controllers Hugh Jack, Associate Professor Padnos School of Engineering Grand Valley State University Grand Rapids, MI email: jackh@gvsu.edu Session
Penn State Erie, The Behrend College School of Engineering
Penn State Erie, The Behrend College School of Engineering EE BD 327 Signals and Control Lab Spring 2008 Lab 9 Ball and Beam Balancing Problem April 10, 17, 24, 2008 Due: May 1, 2008 Number of Lab Periods:
Design of Compensator for Dynamical System
Design of Compensator for Dynamical System Ms.Saroja S. Chavan PimpriChinchwad College of Engineering, Pune Prof. A. B. Patil PimpriChinchwad College of Engineering, Pune ABSTRACT New applications of dynamical
Control and robotics remote laboratory for engineering education
Control and robotics remote laboratory for engineering education R. Šafarič, M. Truntič, D. Hercog and G. Pačnik University of Maribor, Faculty of electrical engineering and computer science, Maribor,
Teaching Mechatronics & Controls using NI Technology
Teaching Mechatronics & Controls using NI Technology NAJIB METNI Chairperson Department of Mechanical Engineering 1 OUTLINE 1. Mechatronics Definition 2. Mechatronics in Mechanical Eng. Curriculum 3. Methods
Digital 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
Figure 1.1: Quanser Driving Simulator
1 INTRODUCTION The Quanser HIL Driving Simulator (QDS) is a modular and expandable LabVIEW model of a car driving on a closed track. The model is intended as a platform for the development, implementation
PRODUCTS AND LAB SOLUTIONS
PRODUCTS AND LAB SOLUTIONS ENGINEERING FUNDAMENTALS NI ELVIS APPLICATION BOARDS Controls Board Energy Systems Board Mechatronic Systems Board with NI ELVIS III Mechatronic Sensors Board Mechatronic Actuators
Development of a Laboratory Kit for Robotics Engineering Education
Development of a Laboratory Kit for Robotics Engineering Education Taskin Padir, William Michalson, Greg Fischer, Gary Pollice Worcester Polytechnic Institute Robotics Engineering Program tpadir@wpi.edu
CHASSIS DYNAMOMETER TORQUE CONTROL SYSTEM DESIGN BY DIRECT INVERSE COMPENSATION. C.Matthews, P.Dickinson, A.T.Shenton
CHASSIS DYNAMOMETER TORQUE CONTROL SYSTEM DESIGN BY DIRECT INVERSE COMPENSATION C.Matthews, P.Dickinson, A.T.Shenton Department of Engineering, The University of Liverpool, Liverpool L69 3GH, UK Abstract:
Chapter 1: Introduction to Control Systems Objectives
Chapter 1: Introduction to Control Systems Objectives In this chapter we describe a general process for designing a control system. A control system consisting of interconnected components is designed
Glossary of terms. Short explanation
Glossary Concept Module. Video Short explanation Abstraction 2.4 Capturing the essence of the behavior of interest (getting a model or representation) Action in the control Derivative 4.2 The control signal
Lab 2: Quanser Hardware and Proportional Control
I. Objective The goal of this lab is: Lab 2: Quanser Hardware and Proportional Control a. Familiarize students with Quanser's QuaRC tools and the Q4 data acquisition board. b. Derive and understand a model
Design of a Simulink-Based Control Workstation for Mobile Wheeled Vehicles with Variable-Velocity Differential Motor Drives
Design of a Simulink-Based Control Workstation for Mobile Wheeled Vehicles with Variable-Velocity Differential Motor Drives Kevin Block, Timothy De Pasion, Benjamin Roos, Alexander Schmidt Gary Dempsey
BS in. Electrical Engineering
BS in Electrical Engineering Program Objectives Habib University s Electrical Engineering program is designed to impart rigorous technical knowledge, combined with hands-on experiential learning and a
Labs for EGN 3375 Electromechanical Energy Systems at University of South Florida
Labs for EGN 3375 Electromechanical Energy Systems at University of South Florida Author: Zhixin Miao, Lingling Fan, Yin Li, Minyue Ma, Zhengyu Wang Presented by: Zhengyu Wang Smart Grid Power System Laboratory
Vibration of Mechanical Systems
Vibration of Mechanical Systems This is a textbook for a first course in mechanical vibrations. There are many books in this area that try to include everything, thus they have become exhaustive compendiums
Modeling of Electro Mechanical Actuator with Inner Loop controller
Modeling of Electro Mechanical Actuator with Inner Loop controller Patchigalla Vinay 1, P Mallikarjuna Rao 2 1PG scholar, Dept.of EEE, Andhra Universit(A),Visakhapatnam,India 2Professor, Dept.of EEE, Andhra
SRV02-Series Rotary Experiment # 3. Ball & Beam. Student Handout
SRV02-Series Rotary Experiment # 3 Ball & Beam Student Handout SRV02-Series Rotary Experiment # 3 Ball & Beam Student Handout 1. Objectives The objective in this experiment is to design a controller for
Department of Mechatronics Engineering
Department of Mechatronics Engineering COURSES COVERED CONTROL SYSTEM POWER ELECTRONICS ELECTROMECHANICAL SYSTEM SENSORS AND INTRUMENTATION LAB SUPERVISOR: ENGR. MOEZ UL HASSAN NI ELVIS II The NI Educational
ME 487 Mechatronics. Office: JH 515, Tel.: (505)
ME 487 Mechatronics Instructor: Assistant: Dr. Ou Ma Office: JH 515, Email: oma@nmsu.edu Tel.: (505)646-6534 Xiumin Diao (Ph.D. student) Office: JH 608, Email: xiumin@nmsu.edu Tel.: (505)646-6544 Dept.
BS-Electrical Engineering (Spring 1985) University of Oklahoma, Norman, OK
101 Oklahoma Drive Portales, NM 88130 Office: (575) 562-2073 Home: (575) 356-4467 Cell: 575-825-0199 E-mail: hamid.allamehzadeh@enmu.edu EDUCATION: PH.D. - ELECTRICAL ENGINEERING (Spring 1996) Dissertation:
ECE411 - Laboratory Exercise #1
ECE411 - Laboratory Exercise #1 Introduction to Matlab/Simulink This laboratory exercise is intended to provide a tutorial introduction to Matlab/Simulink. Simulink is a Matlab toolbox for analysis/simulation
Classical Control Design Guidelines & Tools (L10.2) Transfer Functions
Classical Control Design Guidelines & Tools (L10.2) Douglas G. MacMartin Summarize frequency domain control design guidelines and approach Dec 4, 2013 D. G. MacMartin CDS 110a, 2013 1 Transfer Functions
By Vishal Kumar. Project Advisor: Dr. Gary L. Dempsey
Project Deliverable III Senior Project Proposal for Non-Linear Internal Model Controller Design for a Robot Arm with Artificial Neural Networks By Vishal Kumar Project Advisor: Dr. Gary L. Dempsey 12/4/07
Brushed DC Motor Microcontroller PWM Speed Control with Optical Encoder and H-Bridge
Brushed DC Motor Microcontroller PWM Speed Control with Optical Encoder and H-Bridge L298 Full H-Bridge HEF4071B OR Gate Brushed DC Motor with Optical Encoder & Load Inertia Flyback Diodes Arduino Microcontroller
Enhanced performance of delayed teleoperator systems operating within nondeterministic environments
University of Wollongong Research Online University of Wollongong Thesis Collection 1954-2016 University of Wollongong Thesis Collections 2010 Enhanced performance of delayed teleoperator systems operating
Vibration Fundamentals Training System
Vibration Fundamentals Training System Hands-On Turnkey System for Teaching Vibration Fundamentals An Ideal Tool for Optimizing Your Vibration Class Curriculum The Vibration Fundamentals Training System
ME375 Lab Project. Bradley Boane & Jeremy Bourque April 25, 2018
ME375 Lab Project Bradley Boane & Jeremy Bourque April 25, 2018 Introduction: The goal of this project was to build and program a two-wheel robot that travels forward in a straight line for a distance
Dynamically Adaptive Inverted Pendulum Platfom
Dynamically Adaptive Inverted Pendulum Platfom 2009 Colorado Space Grant Symposium Jonathon Cox Colorado State University Undergraduate in Electrical Engineering Email: csutke@gmail.com Web: www.campusaudio.com
Comparative Study of PID and Fuzzy Controllers for Speed Control of DC Motor
Comparative Study of PID and Fuzzy Controllers for Speed Control of DC Motor Osama Omer Adam Mohammed 1, Dr. Awadalla Taifor Ali 2 P.G. Student, Department of Control Engineering, Faculty of Engineering,
Optimal Control System Design
Chapter 6 Optimal Control System Design 6.1 INTRODUCTION The active AFO consists of sensor unit, control system and an actuator. While designing the control system for an AFO, a trade-off between the transient
GE420 Laboratory Assignment 8 Positioning Control of a Motor Using PD, PID, and Hybrid Control
GE420 Laboratory Assignment 8 Positioning Control of a Motor Using PD, PID, and Hybrid Control Goals for this Lab Assignment: 1. Design a PD discrete control algorithm to allow the closed-loop combination
PRODUCTS AND LAB SOLUTIONS
PRODUCTS AND LAB SOLUTIONS Answering the most challenging academic questions with innovative technology and methods Quanser is the global leader in the design and manufacture of lab solutions and products
Fuzzy Based Control Using Lab view For Temperature Process
Fuzzy Based Control Using Lab view For Temperature Process 1 S.Kavitha, 2 B.Chinthamani, 3 S.Joshibha Ponmalar 1 Assistant Professor, Dept of EEE, Saveetha Engineering College Tamilnadu, India 2 Assistant
Control Design Made Easy By Ryan Gordon
Control Design Made Easy By Ryan Gordon 2014 The MathWorks, Inc. 1 Key Themes You can automatically tune PID controllers in MATLAB from acquired data You can automatically tune PID controllers from dynamic
A Do-and-See Approach for Learning Mechatronics Concepts
Proceedings of the 5 th International Conference of Control, Dynamic Systems, and Robotics (CDSR'18) Niagara Falls, Canada June 7 9, 2018 Paper No. 124 DOI: 10.11159/cdsr18.124 A Do-and-See Approach for
Cantonment, Dhaka-1216, BANGLADESH
International Conference on Mechanical, Industrial and Energy Engineering 2014 26-27 December, 2014, Khulna, BANGLADESH ICMIEE-PI-140153 Electro-Mechanical Modeling of Separately Excited DC Motor & Performance
Digital Control Lab Exp#8: PID CONTROLLER
Digital Control Lab Exp#8: PID CONTROLLER we will design the velocity controller for a DC motor. For the sake of simplicity consider a basic transfer function for a DC motor where effects such as friction
ECE317 : Feedback and Control
ECE317 : Feedback and Control Lecture : Frequency domain specifications Frequency response shaping (Loop shaping) Dr. Richard Tymerski Dept. of Electrical and Computer Engineering Portland State University
Robot Joint Angle Control Based on Self Resonance Cancellation Using Double Encoders
Robot Joint Angle Control Based on Self Resonance Cancellation Using Double Encoders Akiyuki Hasegawa, Hiroshi Fujimoto and Taro Takahashi 2 Abstract Research on the control using a load-side encoder for
Further Control Systems Engineering
Unit 54: Unit code Further Control Systems Engineering Y/615/1522 Unit level 5 Credit value 15 Introduction Control engineering is usually found at the top level of large projects in determining the engineering
REDUCING THE VIBRATIONS OF AN UNBALANCED ROTARY ENGINE BY ACTIVE FORCE CONTROL. M. Mohebbi 1*, M. Hashemi 1
International Journal of Technology (2016) 1: 141-148 ISSN 2086-9614 IJTech 2016 REDUCING THE VIBRATIONS OF AN UNBALANCED ROTARY ENGINE BY ACTIVE FORCE CONTROL M. Mohebbi 1*, M. Hashemi 1 1 Faculty of
Control & Instrumentation
Control & Instrumentation Control & Instrumentation! Analogue & Digital Servo Trainer! Modular Servo System! Transducers kit! Programmable Logic Control Applications! Dual Conveyor plc Workcell! Elevator!
GTU- Centre of Excellence in Automation
Gujarat Technological University Centre of Excellence in Automation LABS UNDER CENTER OF EXCELLENCE Hydraulic Lab. Pneumatic Lab. Sensor Lab. Programmable logic controller(plc) Robotics & Mechatronics
GE 320: Introduction to Control Systems
GE 320: Introduction to Control Systems Laboratory Section Manual 1 Welcome to GE 320.. 1 www.softbankrobotics.com 1 1 Introduction This section summarizes the course content and outlines the general procedure
CDS 101: Lecture 1 Introduction to Feedback and Control. Richard M. Murray 30 September 2002
1 CDS 101: Lecture 1 Introduction to Feedback and Control Richard M. Murray 30 September 2002 Goals: Define what a control system is and learn how to recognize its main features Describe what control systems
TigreSAT 2010 &2011 June Monthly Report
2010-2011 TigreSAT Monthly Progress Report EQUIS ADS 2010 PAYLOAD No changes have been done to the payload since it had passed all the tests, requirements and integration that are necessary for LSU HASP
SELF-BALANCING MOBILE ROBOT TILTER
Tomislav Tomašić Andrea Demetlika Prof. dr. sc. Mladen Crneković ISSN xxx-xxxx SELF-BALANCING MOBILE ROBOT TILTER Summary UDC 007.52, 62-523.8 In this project a remote controlled self-balancing mobile
DEGREE: Biomedical Engineering YEAR: TERM: 1
COURSE: Control Engineering DEGREE: Biomedical Engineering YEAR: TERM: 1 La asignatura tiene 14 sesiones que se distribuyen a lo largo de 7 semanas. Los dos laboratorios puede situarse en cualquiera de
SYLLABUS. osmania university CHAPTER - 1 : CONTROL SYSTEMS CLASSIFICATION
i SYLLABUS osmania university UNIT - I CHAPTER - 1 : CONTROL SYSTEMS CLASSIFICATION Open Loop and Closed Loop Systems, Mathematical Models and Transfer Functions from Governing Equations of Mechanical,
AC : A STUDENT-ORIENTED CONTROL LABORATORY US- ING PROGRAM CC
AC 2011-490: A STUDENT-ORIENTED CONTROL LABORATORY US- ING PROGRAM CC Ziqian Liu, SUNY Maritime College Ziqian Liu received the Ph.D. degree from the Southern Illinois University Carbondale in 2005. He
Figure 2.1 a. Block diagram representation of a system; b. block diagram representation of an interconnection of subsystems
1 Figure 2.1 a. Block diagram representation of a system; b. block diagram representation of an interconnection of subsystems 2 Table 2.1 Laplace transform table 3 Table 2.2 Laplace transform theorems
Ball-and-beam laboratory system controlled by Simulink model through dedicated microcontrolled-matlab data exchange protocol
Computer Applications in Electrical Engineering Ball-and-beam laboratory system controlled by Simulink model through dedicated microcontrolled-matlab data exchange protocol Krzysztof Nowopolski Poznań
INCLINED PLANE RIG LABORATORY USER GUIDE VERSION 1.3
INCLINED PLANE RIG LABORATORY USER GUIDE VERSION 1.3 Labshare 2011 Table of Contents 1 Introduction... 3 1.1 Remote Laboratories... 3 1.2 Inclined Plane - The Rig Apparatus... 3 1.2.1 Block Masses & Inclining
NEW Instrumentation and Control Technology
NEW Instrumentation and Control Technology Training Systems for Training Technicians and Engineers Contents Best Quality for Best Qualifications Training Systems for Instrumentation and Control Technology...
Lab 2A: Introduction to Sensing and Data Acquisition
Lab 2A: Introduction to Sensing and Data Acquisition Prof. R.G. Longoria Department of Mechanical Engineering The University of Texas at Austin June 12, 2014 1 Lab 2A 2 Sensors 3 DAQ 4 Experimentation
Position Control of DC Motor by Compensating Strategies
Position Control of DC Motor by Compensating Strategies S Prem Kumar 1 J V Pavan Chand 1 B Pangedaiah 1 1. Assistant professor of Laki Reddy Balireddy College Of Engineering, Mylavaram Abstract - As the
Effects of MATLAB and Simulink in Engineering Education: A Case Study of Transient Analysis of Direct-Current Machines
Effects of MATLAB and Simulink in Engineering Education: A Case Study of Transient Analysis of Direct-Current Machines Obasi, R. U. Obi, P. I. Chidolue, G. C. Department of Electrical / Department of Electrical
Control Systems Overview REV II
Control Systems Overview REV II D R. T A R E K A. T U T U N J I M E C H A C T R O N I C S Y S T E M D E S I G N P H I L A D E L P H I A U N I V E R S I T Y 2 0 1 4 Control Systems The control system is
Servo Tuning. Dr. Rohan Munasinghe Department. of Electronic and Telecommunication Engineering University of Moratuwa. Thanks to Dr.
Servo Tuning Dr. Rohan Munasinghe Department. of Electronic and Telecommunication Engineering University of Moratuwa Thanks to Dr. Jacob Tal Overview Closed Loop Motion Control System Brain Brain Muscle
CONTROLLER DESIGN ON ARX MODEL OF ELECTRO-HYDRAULIC ACTUATOR
Journal of Fundamental and Applied Sciences ISSN 1112-9867 Research Article Special Issue Available online at http://www.jfas.info MODELING AND CONTROLLER DESIGN ON ARX MODEL OF ELECTRO-HYDRAULIC ACTUATOR
National Instruments Our Mission
NI ELVIS National Instruments Our Mission We equip engineers and scientists with tools that accelerate productivity, innovation, and discovery. 2 The NI Teaching Philosophy To inspire and prepare tomorrow
TRACK-FOLLOWING CONTROLLER FOR HARD DISK DRIVE ACTUATOR USING QUANTITATIVE FEEDBACK THEORY
Proceedings of the IASTED International Conference Modelling, Identification and Control (AsiaMIC 2013) April 10-12, 2013 Phuket, Thailand TRACK-FOLLOWING CONTROLLER FOR HARD DISK DRIVE ACTUATOR USING
Electrical Engineering. Control Systems. Comprehensive Theory with Solved Examples and Practice Questions. Publications
Electrical Engineering Control Systems Comprehensive Theory with Solved Examples and Practice Questions Publications Publications MADE EASY Publications Corporate Office: 44-A/4, Kalu Sarai (Near Hauz
TECHNOLOGY, ARTS AND MEDIA (TAM) CERTIFICATE PROPOSAL. November 6, 1999
TECHNOLOGY, ARTS AND MEDIA (TAM) CERTIFICATE PROPOSAL November 6, 1999 ABSTRACT A new age of networked information and communication is bringing together three elements -- the content of business, media,
Position Control of AC Servomotor Using Internal Model Control Strategy
Position Control of AC Servomotor Using Internal Model Control Strategy Ahmed S. Abd El-hamid and Ahmed H. Eissa Corresponding Author email: Ahmednrc64@gmail.com Abstract: This paper focuses on the design
Comparative Analysis of PID, SMC, SMC with PID Controller for Speed Control of DC Motor
International ournal for Modern Trends in Science and Technology Volume: 02, Issue No: 11, November 2016 http://www.ijmtst.com ISSN: 2455-3778 Comparative Analysis of PID, SMC, SMC with PID Controller
MODEL BASED DESIGN OF PID CONTROLLER FOR BLDC MOTOR WITH IMPLEMENTATION OF EMBEDDED ARDUINO MEGA CONTROLLER
www.arpnjournals.com MODEL BASED DESIGN OF PID CONTROLLER FOR BLDC MOTOR WITH IMPLEMENTATION OF EMBEDDED ARDUINO MEGA CONTROLLER M.K.Hat 1, B.S.K.K. Ibrahim 1, T.A.T. Mohd 2 and M.K. Hassan 2 1 Department
IMPLEMENTATION OF NEURAL NETWORK IN ENERGY SAVING OF INDUCTION MOTOR DRIVES WITH INDIRECT VECTOR CONTROL
IMPLEMENTATION OF NEURAL NETWORK IN ENERGY SAVING OF INDUCTION MOTOR DRIVES WITH INDIRECT VECTOR CONTROL * A. K. Sharma, ** R. A. Gupta, and *** Laxmi Srivastava * Department of Electrical Engineering,
CHAPTER 1 Introduction of Control System
CHAPTER 1 Introduction of Control System DR. SHAFISHUHAZA SAHLAN DR. SHAHDAN SUDIN DR. HERMAN WAHID DR. FATIMAH SHAM ISMAIL Department of Control and Mechatronics Engineering Faculty of Electrical Engineering
Robotics for Engineering Education
Robotics for Engineering Education School of Engineering and Advanced Technology Massey University Dr. Loulin Huang RoboCup 2010 Symposium, Singapore, 25 June 2010 Outline Introduction some observation
DC Motor Speed Control Using Machine Learning Algorithm
DC Motor Speed Control Using Machine Learning Algorithm Jeen Ann Abraham Department of Electronics and Communication. RKDF College of Engineering Bhopal, India. Sanjeev Shrivastava Department of Electronics
ANALYSIS OF V/f CONTROL OF INDUCTION MOTOR USING CONVENTIONAL CONTROLLERS AND FUZZY LOGIC CONTROLLER
ANALYSIS OF V/f CONTROL OF INDUCTION MOTOR USING CONVENTIONAL CONTROLLERS AND FUZZY LOGIC CONTROLLER Archana G C 1 and Reema N 2 1 PG Student [Electrical Machines], Department of EEE, Sree Buddha College
WITH THE advent of low-cost personal computers and
IEEE TRANSACTIONS ON EDUCATION, VOL. 48, NO. 1, FEBRUARY 2005 37 Induction Motor Tests Using MATLAB/Simulink and Their Integration Into Undergraduate Electric Machinery Courses Saffet Ayasun, Member, IEEE,
MECHATRONICS Master study program. St. Kliment Ohridski University in Bitola Faculty of Technical Sciences Bitola.
MECHATRONICS Master study program St. Kliment Ohridski University in Bitola Faculty of Technical Sciences Bitola www.tfb.edu.mk 1 2 Contents Mechatronics - an interdisciplinary approach Competences / Invest
CDS 101/110a: Lecture 8-1 Frequency Domain Design. Frequency Domain Performance Specifications
CDS /a: Lecture 8- Frequency Domain Design Richard M. Murray 7 November 28 Goals:! Describe canonical control design problem and standard performance measures! Show how to use loop shaping to achieve a
MEM01: DC-Motor Servomechanism
MEM01: DC-Motor Servomechanism Interdisciplinary Automatic Controls Laboratory - ME/ECE/CHE 389 February 5, 2016 Contents 1 Introduction and Goals 1 2 Description 2 3 Modeling 2 4 Lab Objective 5 5 Model
ARCHITECTURE AND MODEL OF DATA INTEGRATION BETWEEN MANAGEMENT SYSTEMS AND AGRICULTURAL MACHINES FOR PRECISION AGRICULTURE
ARCHITECTURE AND MODEL OF DATA INTEGRATION BETWEEN MANAGEMENT SYSTEMS AND AGRICULTURAL MACHINES FOR PRECISION AGRICULTURE W. C. Lopes, R. R. D. Pereira, M. L. Tronco, A. J. V. Porto NepAS [Center for Teaching
Effective Teaching Learning Process for PID Controller Based on Experimental Setup with LabVIEW
Effective Teaching Learning Process for PID Controller Based on Experimental Setup with LabVIEW Komal Sampatrao Patil & D.R.Patil Electrical Department, Walchand college of Engineering, Sangli E-mail :
Smart Products and Digital Industry Prof. Dr.-Ing. Dietmar Goehlich
Smart Products and Digital Industry Prof. Dr.-Ing. Dietmar Goehlich Technische Universität Berlin Faculty of Mechanical Engineering and Transport Systems Methods for Product Development and Mechatronics
CDS 101/110a: Lecture 8-1 Frequency Domain Design
CDS 11/11a: Lecture 8-1 Frequency Domain Design Richard M. Murray 17 November 28 Goals: Describe canonical control design problem and standard performance measures Show how to use loop shaping to achieve
Analog circuit design ( )
Silver Oak College of Engineering & Technology Department of Electronics and Communication 4 th Sem Mid semester-1(summer 2019) Syllabus Microprocessor & Interfacing (2141001) 1 Introduction To 8-bit Microprocessor
A Real-Time Regulator, Turbine and Alternator Test Bench for Ensuring Generators Under Test Contribute to Whole System Stability
A Real-Time Regulator, Turbine and Alternator Test Bench for Ensuring Generators Under Test Contribute to Whole System Stability Marc Langevin, eng., Ph.D.*. Marc Soullière, tech.** Jean Bélanger, eng.***
AUTOMOTIVE CONTROL SYSTEMS
AUTOMOTIVE CONTROL SYSTEMS This engineering textbook is designed to introduce advanced control systems for vehicles, including advanced automotive concepts and the next generation of vehicles for Intelligent
BAXTER O'TULLE 132 Horace Ave Gordonville, KY (555)
BAXTER O'TULLE 132 Horace Ave Gordonville, KY 93555 (555) 555-2938 botulle@emailplace.com RESEARCH INTERESTS Automation Distribute Systems Control Decentralization Control Mechantronics and Artificial
DYNAMIC LOAD SIMULATOR (DLS): STRATEGIES AND APPLICATIONS
15th ASCE Engineering Mechanics Conference June 2-5, 2002, Columbia University, New York, NY EM 2002 DYNAMIC LOAD SIMULATOR (DLS): STRATEGIES AND APPLICATIONS Swaroop Yalla 1, Associate Member ASCE and
International Journal of Advance Engineering and Research Development
Scientific Journal of Impact Factor (SJIF): 4.14 International Journal of Advance Engineering and Research Development Volume 3, Issue 2, February -2016 e-issn (O): 2348-4470 p-issn (P): 2348-6406 SIMULATION