Integrator Windup

Size: px
Start display at page:

Download "Integrator Windup"

Transcription

1 Integrator Windup Definition So far we have mainly been concerned with linear behaviour, as is often the case with analysis and design of control systems. There is, however, one nonlinear phenomena that we have to deal with namely saturation of the amplifier. Since the supply voltage is 15 V, it is not possible for the motor amplifier to deliver outputs that are larger than 15 V. The effect of saturation can be quite serious because the feedback loop is effectively broken when the amplifier saturates. In this case, saturation causes the loss of the important feedback information from the system output. The combination of a controller with integral action and a process with saturation is that the integrator may drift when the controller saturates. This is called integrator wind up Windup Protection There are many ways to avoid integrator windup. One possibility is to arrange a feedback that resets the integral when the output saturates. This is illustrated in the block diagram in Figure 3.2. Figure 3.2 PI controller Block Diagram With Protection For Windup For the DCMCT motor, the model of the actuator is simply as follows: u( t )!"! sat 15 ( v( t )) with the saturation function defined as: # -15 x!'! -15 sat 15 ( x )!"! & x -15!(! x and x!(! 15 % $ 15 15!'! x Document Number: 627! Revision: 01! Page: 70

2 The extra feedback loop with the time constant T r is inactive if the the control signal does not saturate because in this case we have u = v. When the controller output saturates, the extra feedback loop drives the saturation error e s to zero which means that the integrator is driven towards a value just at the saturation limit. This means that the control signal will decrease from the saturation limit as soon as the control error goes negative. The windup protection is governed by the parameter a w which ranges between 0 and 1. There is no protection against windup if a w = 0. If a w = 1 the integrator is reset in one sampling period. In discrete time, the PI control law with windup protection can be written as follows: u( k )!"! sat 15 ( v( k )) with: v( k)!"! k p ( b sp r( k )!)! y ( k!)! 1 )) N * -!1!, 0 ( k i ( r( k )!)! y ( k!)! 1 )) h!1! a w ( u ( k!)! 1 )!)! v ( k!)! 1 ) )) / + k!"! 2. where k is the sampling interval. Document Number: 627! Revision: 01! Page: 71

3 Tracking Triangular Signals So far we have investigated tracking of reference signals in the form of square waves. We will now investigate tracking of triangular references. Please answer the following questions. 1. Determine the transfer function, G e,r (s), from reference to control error for a PI control loop characterized by Equation [3.1]. G e,r (s) is defined below: E( s ) G e, r ( s )!"! R( s ) [3.7] where the velocity error is defined as follows: E( s )!"! R( s )!)! 2 m ( s ) [3.8] Document Number: 627! Revision: 01! Page: 72

4 2. When a PI controller is used (k p 3 0 and k i 3 0), apply the final value theorem to calculate the steady-state error, e ss_pi, in response to a ramp reference signal of slope R Using the PI tuning found in Sections Question 10 and Question 11, evaluate the steady-state error e ss_pi for the following ramp slope R 0 : R 0!"! rad 7 s [3.9] Document Number: 627! Revision: 01! Page: 73

5 4. For a system that does not have integral action (k i = 0), apply the final value theorem to calculate the steady-state error, e ss_p, in response to a ramp reference signal of slope R 0. In this configuration, the closed-loop system has a pure proportional controller (k p 3 0, k i = 0, and b sp = 1). Hint: You can obtain e ss_p by first applying the final value theorem for a step input of amplitude R 0 and then integrating. 5. Using k p = 0.1 V.s/rad, evaluate the steady-state error e ss (t) for the ramp slope R 0, as defined in Equation [3.9]. Considering a 0.4 Hz triangular reference signal of slope R 0, calculate the maximum steady-state error, e ss_p_max. Document Number: 627! Revision: 01! Page: 74

6 Response To Load Disturbances Reduction of the effects of load disturbances is a key reason for using control. A torque on the motor axis is a typical example of a load disturbance for a speed control system. In this laboratory we will show the effects of controller tuning on load disturbance response. Please answer the following questions. 1. Considering the regulation problem (for r = 0), determine the closed-loop system block diagram with a disturbance torque input T d applied on the DCMCT inertial load. Assume a PI controller. The block diagram should contain the open-loop transfer function G!,V as formulated in [3.2], and be function of the following system parameters: k p,k i, K, ", and J eq. Hint: Assume V sd = Find the closed-loop transfer function, G!,T (s), from disturbance torque to motor speed, as a function of the following system parameters: k p, k i, K, ", and J eq. Document Number: 627! Revision: 01! Page: 75

7 G!,T (s) is defined below: 2 m ( s ) G :, T ( s )!"! T d ( s ) 3. When a pure integral controller is used (k p " 0 and k i 3 0), apply the final value theorem to calculate the steady-state velocity,! ss_i, in response to a step input disturbance torque of amplitude T d0. Comment. Document Number: 627! Revision: 01! Page: 76

8 4. When a pure proportional controller is used (k p 3 0 and k i = 0), apply the final value theorem to calculate the steady-state velocity,! ss_p, in response to a step input disturbance torque of amplitude T d0. Comment. Document Number: 627! Revision: 01! Page: 77

Goodwin, Graebe, Salgado, Prentice Hall Chapter 11. Chapter 11. Dealing with Constraints

Goodwin, Graebe, Salgado, Prentice Hall Chapter 11. Chapter 11. Dealing with Constraints Chapter 11 Dealing with Constraints Topics to be covered An ubiquitous problem in control is that all real actuators have limited authority. This implies that they are constrained in amplitude and/or rate

More information

Quanser NI-ELVIS Trainer (QNET) Series: QNET Experiment #02: DC Motor Position Control. DC Motor Control Trainer (DCMCT) Student Manual

Quanser NI-ELVIS Trainer (QNET) Series: QNET Experiment #02: DC Motor Position Control. DC Motor Control Trainer (DCMCT) Student Manual Quanser NI-ELVIS Trainer (QNET) Series: QNET Experiment #02: DC Motor Position Control DC Motor Control Trainer (DCMCT) Student Manual Table of Contents 1 Laboratory Objectives1 2 References1 3 DCMCT Plant

More information

QNET DC Motor Control

QNET DC Motor Control QNET DC Motor Control Workbook QNET DCMCT Student Version Quanser Inc. 2011 c 2011 Quanser Inc., All rights reserved. Quanser Inc. 119 Spy Court Markham, Ontario L3R 5H6 Canada info@quanser.com Phone:

More information

Manufacturing Equipment Control

Manufacturing Equipment Control QUESTION 1 An electric drive spindle has the following parameters: J m = 2 1 3 kg m 2, R a = 8 Ω, K t =.5 N m/a, K v =.5 V/(rad/s), K a = 2, J s = 4 1 2 kg m 2, and K s =.3. Ignore electrical dynamics

More information

CM 3310 Process Control, Spring Lecture 21

CM 3310 Process Control, Spring Lecture 21 CM 331 Process Control, Spring 217 Instructor: Dr. om Co Lecture 21 (Back to Process Control opics ) General Control Configurations and Schemes. a) Basic Single-Input/Single-Output (SISO) Feedback Figure

More information

(Refer Slide Time: 1:42)

(Refer Slide Time: 1:42) Control Engineering Prof. Madan Gopal Department of Electrical Engineering Indian Institute of Technology, Delhi Lecture - 21 Basic Principles of Feedback Control (Contd..) Friends, let me get started

More information

Control 2. Proportional and Integral control

Control 2. Proportional and Integral control Control 2 Proportional and Integral control 1 Disturbance rejection in Proportional Control Θ i =5 + _ Controller K P =20 Motor K=2.45 Θ o Consider first the case where the motor steadystate gain = 2.45

More information

ECE 5670/6670 Lab 8. Torque Curves of Induction Motors. Objectives

ECE 5670/6670 Lab 8. Torque Curves of Induction Motors. Objectives ECE 5670/6670 Lab 8 Torque Curves of Induction Motors Objectives The objective of the lab is to measure the torque curves of induction motors. Acceleration experiments are used to reconstruct approximately

More information

Torques 1.0 Two torques We have written the swing equation where speed is in rad/sec as:

Torques 1.0 Two torques We have written the swing equation where speed is in rad/sec as: Torques 1.0 Two torques We have written the swing equation where speed is in rad/sec as: 2H Re ( t) T au T mu T eu (1) and when speed is in per-unit as 2H u ( t) Tau Tmu Teu (2) We note that in both cases

More information

CDS 101/110a: Lecture 8-1 Frequency Domain Design

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

More information

EE 422G - Signals and Systems Laboratory

EE 422G - Signals and Systems Laboratory EE 4G - Signals and Systems Laboratory Lab 9 PID Control Kevin D. Donohue Department of Electrical and Computer Engineering University of Kentucky Lexington, KY 40506 April, 04 Objectives: Identify the

More information

Laboratory 11 Control Systems Laboratory ECE3557. State Feedback Controller for Position Control of a Flexible Joint

Laboratory 11 Control Systems Laboratory ECE3557. State Feedback Controller for Position Control of a Flexible Joint Laboratory 11 State Feedback Controller for Position Control of a Flexible Joint 11.1 Objective The objective of this laboratory is to design a full state feedback controller for endpoint position control

More information

Lab 5a: Pole Placement for the Inverted Pendulum

Lab 5a: Pole Placement for the Inverted Pendulum Lab 5a: Pole Placement for the Inverted Pendulum November 1, 2011 1 Purpose The objective of this lab is to achieve simultaneous control of both the angular position of the pendulum and horizontal position

More information

Chapter 8. Feedback Controllers. Figure 8.1 Schematic diagram for a stirred-tank blending system.

Chapter 8. Feedback Controllers. Figure 8.1 Schematic diagram for a stirred-tank blending system. Feedback Controllers Figure 8.1 Schematic diagram for a stirred-tank blending system. 1 Basic Control Modes Next we consider the three basic control modes starting with the simplest mode, proportional

More information

7.2 Controller tuning from specified characteristic polynomial

7.2 Controller tuning from specified characteristic polynomial 192 Finn Haugen: PID Control 7.2 Controller tuning from specified characteristic polynomial 7.2.1 Introduction The subsequent sections explain controller tuning based on specifications of the characteristic

More information

Laboratory Exercise 1 DC servo

Laboratory Exercise 1 DC servo Laboratory Exercise DC servo Per-Olof Källén ø 0,8 POWER SAT. OVL.RESET POS.RESET Moment Reference ø 0,5 ø 0,5 ø 0,5 ø 0,65 ø 0,65 Int ø 0,8 ø 0,8 Σ k Js + d ø 0,8 s ø 0 8 Off Off ø 0,8 Ext. Int. + x0,

More information

Lab 3: Model based Position Control of a Cart

Lab 3: Model based Position Control of a Cart I. Objective Lab 3: Model based Position Control of a Cart The goal of this lab is to help understand the methodology to design a controller using the given plant dynamics. Specifically, we would do position

More information

Lab 6a: Pole Placement for the Inverted Pendulum

Lab 6a: Pole Placement for the Inverted Pendulum Lab 6a: Pole Placement for the Inverted Pendulum Idiot. Above her head was the only stable place in the cosmos, the only refuge from the damnation of the Panta Rei, and she guessed it was the Pendulum

More information

PID Control. Objectives

PID Control. Objectives PID Control Objectives The objective of this lab is to study basic design issues for proportional-integral-derivative control laws. Emphasis is placed on transient responses and steady-state errors. The

More information

ECE 5670/ Lab 3. PID Control of a Brush DC Motor. Objectives

ECE 5670/ Lab 3. PID Control of a Brush DC Motor. Objectives ECE 5670/6670 - Lab 3 Control of a Brush C Motor Objectives The objective of this lab is to experiment with a proportional-integralderivative () control law for the positioning of a brush C motor. ntegral

More information

Post-Test. For more information, please contact the MCU Training Team.

Post-Test. For more information, please contact the MCU Training Team. Answer the following application questions based on this diagram. Multiple Choice 1. What type of application curve must be used inside a VFD to operate this carpet roll correctly? A) Constant Torque B)

More information

YTÜ Mechanical Engineering Department

YTÜ Mechanical Engineering Department YTÜ Mechanical Engineering Department Lecture of Special Laboratory of Machine Theory, System Dynamics and Control Division Coupled Tank 1 Level Control with using Feedforward PI Controller Lab Report

More information

Steady State Errors. Recall the closed-loop transfer function of the system, is

Steady State Errors. Recall the closed-loop transfer function of the system, is Steady State Errors Outline What is steady-state error? Steady-state error in unity feedback systems Type Number Steady-state error in non-unity feedback systems Steady-state error due to disturbance inputs

More information

Turbines and speed governors

Turbines and speed governors ELEC0047 - Power system dynamics, control and stability Turbines and speed governors Thierry Van Cutsem t.vancutsem@ulg.ac.be www.montefiore.ulg.ac.be/~vct November 2017 1 / 31 2 / 31 Steam turbines Turbines

More information

Control. CSC752: Autonomous Robotic Systems. Ubbo Visser. March 9, Department of Computer Science University of Miami

Control. CSC752: Autonomous Robotic Systems. Ubbo Visser. March 9, Department of Computer Science University of Miami Control CSC752: Autonomous Robotic Systems Ubbo Visser Department of Computer Science University of Miami March 9, 2017 Outline 1 Control system 2 Controller Images from http://en.wikipedia.org/wiki/feed-forward

More information

IMPROVED CONSTRAINED CASCADE CONTROL FOR PARALLEL PROCESSES. Richard Lestage, André Pomerleau and André Desbiens

IMPROVED CONSTRAINED CASCADE CONTROL FOR PARALLEL PROCESSES. Richard Lestage, André Pomerleau and André Desbiens IMPROVED CONSTRAINED CASCADE CONTROL FOR PARALLEL PROCESSES Richard Lestage, André Pomerleau and André Desbiens Groupe de Recherche sur les Applications de l Informatique à l Industrie Minérale(GRAIIM),

More information

= ~ M3~ Figure 0.1: Sensor and sensorless modes

= ~ M3~ Figure 0.1: Sensor and sensorless modes 0.1. Application Note - Sensorless Title Sensorless Velocity Control for PMSM Number Device S300/S700 Author Juan C. Ramirez Martinez Module Date Firmware 5.55 Page 14 Function Sensorless 0.1 Application

More information

Lecture 12. Upcoming labs: Final Exam on 12/21/2015 (Monday)10:30-12:30

Lecture 12. Upcoming labs: Final Exam on 12/21/2015 (Monday)10:30-12:30 289 Upcoming labs: Lecture 12 Lab 20: Internal model control (finish up) Lab 22: Force or Torque control experiments [Integrative] (2-3 sessions) Final Exam on 12/21/2015 (Monday)10:30-12:30 Today: Recap

More information

Feedback Control of Linear SISO systems. Process Dynamics and Control

Feedback Control of Linear SISO systems. Process Dynamics and Control Feedback Control of Linear SISO systems Process Dynamics and Control 1 Open-Loop Process The study of dynamics was limited to open-loop systems Observe process behavior as a result of specific input signals

More information

2.004 Dynamics and Control II Spring 2008

2.004 Dynamics and Control II Spring 2008 MIT OpenCourseWare http://ocw.mit.edu 2.004 Dynamics and Control II Spring 2008 For information about citing these materials or our Terms of Use, visit: http://ocw.mit.edu/terms. Massachusetts Institute

More information

Mechatronics Engineering. Li Wen

Mechatronics Engineering. Li Wen Mechatronics Engineering Li Wen Bio-inspired robot-dc motor drive Unstable system Mirko Kovac,EPFL Modeling and simulation of the control system Problems 1. Why we establish mathematical model of the control

More information

MAE 143B - Homework 9

MAE 143B - Homework 9 MAE 43B - Homework 9 7.2 2 2 3.8.6.4.2.2 9 8 2 2 3 a) G(s) = (s+)(s+).4.6.8.2.2.4.6.8. Polar plot; red for negative ; no encirclements of, a.s. under unit feedback... 2 2 3. 4 9 2 2 3 h) G(s) = s+ s(s+)..2.4.6.8.2.4

More information

06 Feedback Control System Characteristics The role of error signals to characterize feedback control system performance.

06 Feedback Control System Characteristics The role of error signals to characterize feedback control system performance. Chapter 06 Feedback 06 Feedback Control System Characteristics The role of error signals to characterize feedback control system performance. Lesson of the Course Fondamenti di Controlli Automatici of

More information

Video 5.1 Vijay Kumar and Ani Hsieh

Video 5.1 Vijay Kumar and Ani Hsieh Video 5.1 Vijay Kumar and Ani Hsieh Robo3x-1.1 1 The Purpose of Control Input/Stimulus/ Disturbance System or Plant Output/ Response Understand the Black Box Evaluate the Performance Change the Behavior

More information

Last week: analysis of pinion-rack w velocity feedback

Last week: analysis of pinion-rack w velocity feedback Last week: analysis of pinion-rack w velocity feedback Calculation of the steady state error Transfer function: V (s) V ref (s) = 0.362K s +2+0.362K Step input: V ref (s) = s Output: V (s) = s 0.362K s

More information

Single-Input-Single-Output Systems

Single-Input-Single-Output Systems TF 502 Single-Input-Single-Output Systems SIST, ShanghaiTech Introduction Open-Loop Control-Response Proportional Control General PID Control Boris Houska 1-1 Contents Introduction Open-Loop Control-Response

More information

sc Control Systems Design Q.1, Sem.1, Ac. Yr. 2010/11

sc Control Systems Design Q.1, Sem.1, Ac. Yr. 2010/11 sc46 - Control Systems Design Q Sem Ac Yr / Mock Exam originally given November 5 9 Notes: Please be reminded that only an A4 paper with formulas may be used during the exam no other material is to be

More information

FEEDBACK CONTROL SYSTEMS

FEEDBACK CONTROL SYSTEMS FEEDBAC CONTROL SYSTEMS. Control System Design. Open and Closed-Loop Control Systems 3. Why Closed-Loop Control? 4. Case Study --- Speed Control of a DC Motor 5. Steady-State Errors in Unity Feedback Control

More information

FUZZY LOGIC BASED ADAPTATION MECHANISM FOR ADAPTIVE LUENBERGER OBSERVER SENSORLESS DIRECT TORQUE CONTROL OF INDUCTION MOTOR

FUZZY LOGIC BASED ADAPTATION MECHANISM FOR ADAPTIVE LUENBERGER OBSERVER SENSORLESS DIRECT TORQUE CONTROL OF INDUCTION MOTOR Journal of Engineering Science and Technology Vol., No. (26) 46-59 School of Engineering, Taylor s University FUZZY LOGIC BASED ADAPTATION MECHANISM FOR ADAPTIVE LUENBERGER OBSERVER SENSORLESS DIRECT TORQUE

More information

Control System Design

Control System Design ELEC ENG 4CL4: Control System Design Notes for Lecture #24 Wednesday, March 10, 2004 Dr. Ian C. Bruce Room: CRL-229 Phone ext.: 26984 Email: ibruce@mail.ece.mcmaster.ca Remedies We next turn to the question

More information

UNIVERSITY OF BOLTON SCHOOL OF ENGINEERING. MSc SYSTEMS ENGINEERING AND ENGINEERING MANAGEMENT SEMESTER 2 EXAMINATION 2015/2016

UNIVERSITY OF BOLTON SCHOOL OF ENGINEERING. MSc SYSTEMS ENGINEERING AND ENGINEERING MANAGEMENT SEMESTER 2 EXAMINATION 2015/2016 TW2 UNIVERSITY OF BOLTON SCHOOL OF ENGINEERING MSc SYSTEMS ENGINEERING AND ENGINEERING MANAGEMENT SEMESTER 2 EXAMINATION 2015/2016 ADVANCED CONTROL TECHNOLOGY MODULE NO: EEM7015 Date: Monday 16 May 2016

More information

Raktim Bhattacharya. . AERO 422: Active Controls for Aerospace Vehicles. Basic Feedback Analysis & Design

Raktim Bhattacharya. . AERO 422: Active Controls for Aerospace Vehicles. Basic Feedback Analysis & Design AERO 422: Active Controls for Aerospace Vehicles Basic Feedback Analysis & Design Raktim Bhattacharya Laboratory For Uncertainty Quantification Aerospace Engineering, Texas A&M University Routh s Stability

More information

Positioning Servo Design Example

Positioning Servo Design Example Positioning Servo Design Example 1 Goal. The goal in this design example is to design a control system that will be used in a pick-and-place robot to move the link of a robot between two positions. Usually

More information

Performance of Feedback Control Systems

Performance of Feedback Control Systems Performance of Feedback Control Systems Design of a PID Controller Transient Response of a Closed Loop System Damping Coefficient, Natural frequency, Settling time and Steady-state Error and Type 0, Type

More information

Proportional, Integral & Derivative Control Design. Raktim Bhattacharya

Proportional, Integral & Derivative Control Design. Raktim Bhattacharya AERO 422: Active Controls for Aerospace Vehicles Proportional, ntegral & Derivative Control Design Raktim Bhattacharya Laboratory For Uncertainty Quantification Aerospace Engineering, Texas A&M University

More information

Double Inverted Pendulum (DBIP)

Double Inverted Pendulum (DBIP) Linear Motion Servo Plant: IP01_2 Linear Experiment #15: LQR Control Double Inverted Pendulum (DBIP) All of Quanser s systems have an inherent open architecture design. It should be noted that the following

More information

Mathematical Modeling and Dynamic Simulation of a Class of Drive Systems with Permanent Magnet Synchronous Motors

Mathematical Modeling and Dynamic Simulation of a Class of Drive Systems with Permanent Magnet Synchronous Motors Applied and Computational Mechanics 3 (2009) 331 338 Mathematical Modeling and Dynamic Simulation of a Class of Drive Systems with Permanent Magnet Synchronous Motors M. Mikhov a, a Faculty of Automatics,

More information

MATLAB SIMULINK Based DQ Modeling and Dynamic Characteristics of Three Phase Self Excited Induction Generator

MATLAB SIMULINK Based DQ Modeling and Dynamic Characteristics of Three Phase Self Excited Induction Generator 628 Progress In Electromagnetics Research Symposium 2006, Cambridge, USA, March 26-29 MATLAB SIMULINK Based DQ Modeling and Dynamic Characteristics of Three Phase Self Excited Induction Generator A. Kishore,

More information

C(s) R(s) 1 C(s) C(s) C(s) = s - T. Ts + 1 = 1 s - 1. s + (1 T) Taking the inverse Laplace transform of Equation (5 2), we obtain

C(s) R(s) 1 C(s) C(s) C(s) = s - T. Ts + 1 = 1 s - 1. s + (1 T) Taking the inverse Laplace transform of Equation (5 2), we obtain analyses of the step response, ramp response, and impulse response of the second-order systems are presented. Section 5 4 discusses the transient-response analysis of higherorder systems. Section 5 5 gives

More information

EXPERIMENTAL COMPARISON OF SATURATED VELOCITY CONTROLLERS FOR DC MOTORS

EXPERIMENTAL COMPARISON OF SATURATED VELOCITY CONTROLLERS FOR DC MOTORS Journal of ELECTRICAL ENGINEERING, VOL. 59, NO. 5, 2008, 254 259 EXPERIMENTAL COMPARISON OF SATURATED VELOCITY CONTROLLERS FOR DC MOTORS Javier Moreno Valenzuela This paper concerns the velocity control

More information

Passivity-based Control of Euler-Lagrange Systems

Passivity-based Control of Euler-Lagrange Systems Romeo Ortega, Antonio Loria, Per Johan Nicklasson and Hebertt Sira-Ramfrez Passivity-based Control of Euler-Lagrange Systems Mechanical, Electrical and Electromechanical Applications Springer Contents

More information

Transient Stability Analysis with PowerWorld Simulator

Transient Stability Analysis with PowerWorld Simulator Transient Stability Analysis with PowerWorld Simulator T1: Transient Stability Overview, Models and Relationships 2001 South First Street Champaign, Illinois 61820 +1 (217) 384.6330 support@powerworld.com

More information

Equivalent Circuits with Multiple Damper Windings (e.g. Round rotor Machines)

Equivalent Circuits with Multiple Damper Windings (e.g. Round rotor Machines) Equivalent Circuits with Multiple Damper Windings (e.g. Round rotor Machines) d axis: L fd L F - M R fd F L 1d L D - M R 1d D R fd R F e fd e F R 1d R D Subscript Notations: ( ) fd ~ field winding quantities

More information

MAE143a: Signals & Systems (& Control) Final Exam (2011) solutions

MAE143a: Signals & Systems (& Control) Final Exam (2011) solutions MAE143a: Signals & Systems (& Control) Final Exam (2011) solutions Question 1. SIGNALS: Design of a noise-cancelling headphone system. 1a. Based on the low-pass filter given, design a high-pass filter,

More information

Evaluation of SIPIC01 and SIPIC02 on Motor Speed Control

Evaluation of SIPIC01 and SIPIC02 on Motor Speed Control Evaluation of SIPIC01 and SIPIC02 on Motor Speed Control Kah Kit Wong 1, Choon Lih Hoo 2, Mohd Hardie Hidayat Mohyi 1,* 1 School of Engineering, Taylor s University, Malaysia 2 School of Engineering and

More information

ENGG4420 LECTURE 7. CHAPTER 1 BY RADU MURESAN Page 1. September :29 PM

ENGG4420 LECTURE 7. CHAPTER 1 BY RADU MURESAN Page 1. September :29 PM CHAPTER 1 BY RADU MURESAN Page 1 ENGG4420 LECTURE 7 September 21 10 2:29 PM MODELS OF ELECTRIC CIRCUITS Electric circuits contain sources of electric voltage and current and other electronic elements such

More information

YTÜ Mechanical Engineering Department

YTÜ Mechanical Engineering Department YTÜ Mechanical Engineering Department Lecture of Special Laboratory of Machine Theory, System Dynamics and Control Division Coupled Tank 1 Level Control with using Feedforward PI Controller Lab Date: Lab

More information

ELECTRONICS & COMMUNICATIONS DEP. 3rd YEAR, 2010/2011 CONTROL ENGINEERING SHEET 5 Lead-Lag Compensation Techniques

ELECTRONICS & COMMUNICATIONS DEP. 3rd YEAR, 2010/2011 CONTROL ENGINEERING SHEET 5 Lead-Lag Compensation Techniques CAIRO UNIVERSITY FACULTY OF ENGINEERING ELECTRONICS & COMMUNICATIONS DEP. 3rd YEAR, 00/0 CONTROL ENGINEERING SHEET 5 Lead-Lag Compensation Techniques [] For the following system, Design a compensator such

More information

Nonlinear PD Controllers with Gravity Compensation for Robot Manipulators

Nonlinear PD Controllers with Gravity Compensation for Robot Manipulators BULGARIAN ACADEMY OF SCIENCES CYBERNETICS AND INFORMATION TECHNOLOGIES Volume 4, No Sofia 04 Print ISSN: 3-970; Online ISSN: 34-408 DOI: 0.478/cait-04-00 Nonlinear PD Controllers with Gravity Compensation

More information

Chapter 3 Output stages

Chapter 3 Output stages Chapter 3 utput stages 3.. Goals and properties 3.. Goals and properties deliver power into the load with good efficacy and small power dissipate on the final transistors small output impedance maximum

More information

Relationships between Load, Speed Regulation and Frequency. Slope= -R

Relationships between Load, Speed Regulation and Frequency. Slope= -R elationships between Load, Speed egulation and Frequency Governor Speed characteristic Slope= - Slope=1/D D=2 Frequency-sensitive Load Characteristic Frequency-insensitive Load Characteristic If D (more

More information

Automatic Generation Control. Meth Bandara and Hassan Oukacha

Automatic Generation Control. Meth Bandara and Hassan Oukacha Automatic Generation Control Meth Bandara and Hassan Oukacha EE194 Advanced Controls Theory February 25, 2013 Outline Introduction System Modeling Single Generator AGC Going Forward Conclusion Introduction

More information

ABB PSPG-E7 SteamTMax Precise control of main and reheat ST. ABB Group May 8, 2014 Slide 1 ABB

ABB PSPG-E7 SteamTMax Precise control of main and reheat ST. ABB Group May 8, 2014 Slide 1 ABB ABB PSPG-E7 SteamTMax Precise control of main and reheat ST May 8, 2014 Slide 1 Challenge m S m att T in T out Live steam and reheated steam temperatures are controlled process variables critical in steam

More information

Robust Adaptive Attitude Control of a Spacecraft

Robust Adaptive Attitude Control of a Spacecraft Robust Adaptive Attitude Control of a Spacecraft AER1503 Spacecraft Dynamics and Controls II April 24, 2015 Christopher Au Agenda Introduction Model Formulation Controller Designs Simulation Results 2

More information

Introduction to Controls

Introduction to Controls EE 474 Review Exam 1 Name Answer each of the questions. Show your work. Note were essay-type answers are requested. Answer with complete sentences. Incomplete sentences will count heavily against the grade.

More information

Simulation and Implementation of Servo Motor Control

Simulation and Implementation of Servo Motor Control Simulation and Implementation of Servo Motor Control with Sliding Mode Control (SMC) using Matlab and LabView Bondhan Novandy http://bono02.wordpress.com/ Outline Background Motivation AC Servo Motor Inverter

More information

DISCRETE TIME H CONTROL OF TIP-TILT MODES WITH SATURATING ACTUATORS

DISCRETE TIME H CONTROL OF TIP-TILT MODES WITH SATURATING ACTUATORS Florence, Italy. May 2013 ISBN: 978-88-908876-0-4 DOI: 10.12839/AO4ELT3.13438 DISCRETE TIME H CONTROL OF TIP-TILT MODES WITH SATURATING ACTUATORS Jean-Pierre Folcher a UMR 7293 Lagrange - Université de

More information

NMT EE 589 & UNM ME 482/582 ROBOT ENGINEERING. Dr. Stephen Bruder NMT EE 589 & UNM ME 482/582

NMT EE 589 & UNM ME 482/582 ROBOT ENGINEERING. Dr. Stephen Bruder NMT EE 589 & UNM ME 482/582 NMT EE 589 & UNM ME 482/582 ROBOT ENGINEERING NMT EE 589 & UNM ME 482/582 Simplified drive train model of a robot joint Inertia seen by the motor Link k 1 I I D ( q) k mk 2 kk Gk Torque amplification G

More information

(b) A unity feedback system is characterized by the transfer function. Design a suitable compensator to meet the following specifications:

(b) A unity feedback system is characterized by the transfer function. Design a suitable compensator to meet the following specifications: 1. (a) The open loop transfer function of a unity feedback control system is given by G(S) = K/S(1+0.1S)(1+S) (i) Determine the value of K so that the resonance peak M r of the system is equal to 1.4.

More information

Solved Problems. Electric Circuits & Components. 1-1 Write the KVL equation for the circuit shown.

Solved Problems. Electric Circuits & Components. 1-1 Write the KVL equation for the circuit shown. Solved Problems Electric Circuits & Components 1-1 Write the KVL equation for the circuit shown. 1-2 Write the KCL equation for the principal node shown. 1-2A In the DC circuit given in Fig. 1, find (i)

More information

Acknowledgements. Control System. Tracking. CS122A: Embedded System Design 4/24/2007. A Simple Introduction to Embedded Control Systems (PID Control)

Acknowledgements. Control System. Tracking. CS122A: Embedded System Design 4/24/2007. A Simple Introduction to Embedded Control Systems (PID Control) Acknowledgements A Simple Introduction to Embedded Control Systems (PID Control) The material in this lecture is adapted from: F. Vahid and T. Givargis, Embedded System Design A Unified Hardware/Software

More information

(a) Find the transfer function of the amplifier. Ans.: G(s) =

(a) Find the transfer function of the amplifier. Ans.: G(s) = 126 INTRDUCTIN T CNTR ENGINEERING 10( s 1) (a) Find the transfer function of the amplifier. Ans.: (. 02s 1)(. 001s 1) (b) Find the expected percent overshoot for a step input for the closed-loop system

More information

Control of Electromechanical Systems

Control of Electromechanical Systems Control of Electromechanical Systems November 3, 27 Exercise Consider the feedback control scheme of the motor speed ω in Fig., where the torque actuation includes a time constant τ A =. s and a disturbance

More information

Iterative Controller Tuning Using Bode s Integrals

Iterative Controller Tuning Using Bode s Integrals Iterative Controller Tuning Using Bode s Integrals A. Karimi, D. Garcia and R. Longchamp Laboratoire d automatique, École Polytechnique Fédérale de Lausanne (EPFL), 05 Lausanne, Switzerland. email: alireza.karimi@epfl.ch

More information

Lab 3: Quanser Hardware and Proportional Control

Lab 3: Quanser Hardware and Proportional Control Lab 3: Quanser Hardware and Proportional Control The worst wheel of the cart makes the most noise. Benjamin Franklin 1 Objectives The goal of this lab is to: 1. familiarize you with Quanser s QuaRC tools

More information

Class 27: Block Diagrams

Class 27: Block Diagrams Class 7: Block Diagrams Dynamic Behavior and Stability of Closed-Loop Control Systems We no ant to consider the dynamic behavior of processes that are operated using feedback control. The combination of

More information

EFFECTS OF LOAD AND SPEED VARIATIONS IN A MODIFIED CLOSED LOOP V/F INDUCTION MOTOR DRIVE

EFFECTS OF LOAD AND SPEED VARIATIONS IN A MODIFIED CLOSED LOOP V/F INDUCTION MOTOR DRIVE Nigerian Journal of Technology (NIJOTECH) Vol. 31, No. 3, November, 2012, pp. 365 369. Copyright 2012 Faculty of Engineering, University of Nigeria. ISSN 1115-8443 EFFECTS OF LOAD AND SPEED VARIATIONS

More information

Fundamental Design Limitations in SISO Control

Fundamental Design Limitations in SISO Control Chapter 8 Fundamental Design Limitations in SISO Control This chapter examines those issues that limit the achievable performance in control systems. The limitations that we examine here include Sensors

More information

Computer Aided Control Design

Computer Aided Control Design Computer Aided Control Design Project-Lab 3 Automatic Control Basic Course, EL1000/EL1100/EL1120 Revised August 18, 2008 Modified version of laboration developed by Håkan Fortell and Svante Gunnarsson

More information

Robust Controller Design for Speed Control of an Indirect Field Oriented Induction Machine Drive

Robust Controller Design for Speed Control of an Indirect Field Oriented Induction Machine Drive Leonardo Electronic Journal of Practices and Technologies ISSN 1583-1078 Issue 6, January-June 2005 p. 1-16 Robust Controller Design for Speed Control of an Indirect Field Oriented Induction Machine Drive

More information

Wind Turbine Control

Wind Turbine Control Wind Turbine Control W. E. Leithead University of Strathclyde, Glasgow Supergen Student Workshop 1 Outline 1. Introduction 2. Control Basics 3. General Control Objectives 4. Constant Speed Pitch Regulated

More information

Chapter 7 Control. Part Classical Control. Mobile Robotics - Prof Alonzo Kelly, CMU RI

Chapter 7 Control. Part Classical Control. Mobile Robotics - Prof Alonzo Kelly, CMU RI Chapter 7 Control 7.1 Classical Control Part 1 1 7.1 Classical Control Outline 7.1.1 Introduction 7.1.2 Virtual Spring Damper 7.1.3 Feedback Control 7.1.4 Model Referenced and Feedforward Control Summary

More information

Laboratory Exercise 1

Laboratory Exercise 1 FRTN05 Nonlinear Control and Servo Systems Laboratory Exercise Control of an Air Throttle with Dead-Zone Johan Gagner, Rickard Bondesson, Bo Bernhardsson, Dept. of Automatic Control Revised by Dan Henriksson,

More information

U1 is zero based because its noninverting terminal is connected to circuit common. Therefore, the circuit reference voltage is 0 V.

U1 is zero based because its noninverting terminal is connected to circuit common. Therefore, the circuit reference voltage is 0 V. When you have completed this exercise, you will be able to operate a zener-clamped op amp comparator circuit using dc and ac voltages. You will verify your results with an oscilloscope. U1 is zero based

More information

MS-E2133 Systems Analysis Laboratory II Assignment 2 Control of thermal power plant

MS-E2133 Systems Analysis Laboratory II Assignment 2 Control of thermal power plant MS-E2133 Systems Analysis Laboratory II Assignment 2 Control of thermal power plant How to control the thermal power plant in order to ensure the stable operation of the plant? In the assignment Production

More information

EEE 184: Introduction to feedback systems

EEE 184: Introduction to feedback systems EEE 84: Introduction to feedback systems Summary 6 8 8 x 7 7 6 Level() 6 5 4 4 5 5 time(s) 4 6 8 Time (seconds) Fig.. Illustration of BIBO stability: stable system (the input is a unit step) Fig.. step)

More information

MECH 6091 Flight Control Systems Final Course Project

MECH 6091 Flight Control Systems Final Course Project MECH 6091 Flight Control Systems Final Course Project F-16 Autopilot Design Lizeth Buendia Rodrigo Lezama Daniel Delgado December 16, 2011 1 AGENDA Theoretical Background F-16 Model and Linearization Controller

More information

Linear Experiment #11: LQR Control. Linear Flexible Joint Cart Plus Single Inverted Pendulum (LFJC+SIP) Student Handout

Linear Experiment #11: LQR Control. Linear Flexible Joint Cart Plus Single Inverted Pendulum (LFJC+SIP) Student Handout Linear Motion Servo Plants: IP01 or IP02 Linear Experiment #11: LQR Control Linear Flexible Joint Cart Plus Single Inverted Pendulum (LFJC+SIP) Student Handout Table of Contents 1. Objectives...1 2. Prerequisites...2

More information

PERFORMANCE ANALYSIS OF DIRECT TORQUE CONTROL OF 3-PHASE INDUCTION MOTOR

PERFORMANCE ANALYSIS OF DIRECT TORQUE CONTROL OF 3-PHASE INDUCTION MOTOR PERFORMANCE ANALYSIS OF DIRECT TORQUE CONTROL OF 3-PHASE INDUCTION MOTOR 1 A.PANDIAN, 2 Dr.R.DHANASEKARAN 1 Associate Professor., Department of Electrical and Electronics Engineering, Angel College of

More information

LIAPUNOV S STABILITY THEORY-BASED MODEL REFERENCE ADAPTIVE CONTROL FOR DC MOTOR

LIAPUNOV S STABILITY THEORY-BASED MODEL REFERENCE ADAPTIVE CONTROL FOR DC MOTOR LIAPUNOV S STABILITY THEORY-BASED MODEL REFERENCE ADAPTIVE CONTROL FOR DC MOTOR *Ganta Ramesh, # R. Hanumanth Nayak *#Assistant Professor in EEE, Gudlavalleru Engg College, JNTU, Kakinada University, Gudlavalleru

More information

Stepping Motors. Chapter 11 L E L F L D

Stepping Motors. Chapter 11 L E L F L D Chapter 11 Stepping Motors In the synchronous motor, the combination of sinusoidally distributed windings and sinusoidally time varying current produces a smoothly rotating magnetic field. We can eliminate

More information

Rotary Motion Servo Plant: SRV02. Rotary Experiment #11: 1-DOF Torsion. 1-DOF Torsion Position Control using QuaRC. Student Manual

Rotary Motion Servo Plant: SRV02. Rotary Experiment #11: 1-DOF Torsion. 1-DOF Torsion Position Control using QuaRC. Student Manual Rotary Motion Servo Plant: SRV02 Rotary Experiment #11: 1-DOF Torsion 1-DOF Torsion Position Control using QuaRC Student Manual Table of Contents 1. INTRODUCTION...1 2. PREREQUISITES...1 3. OVERVIEW OF

More information

SRV02-Series Rotary Experiment # 1. Position Control. Student Handout

SRV02-Series Rotary Experiment # 1. Position Control. Student Handout SRV02-Series Rotary Experiment # 1 Position Control Student Handout SRV02-Series Rotary Experiment # 1 Position Control Student Handout 1. Objectives The objective in this experiment is to introduce the

More information

UNIVERSITY OF BOLTON SCHOOL OF ENGINEERING BSC (HONS) MECHATRONICS TOP-UP SEMESTER 1 EXAMINATION 2017/2018 ADVANCED MECHATRONIC SYSTEMS

UNIVERSITY OF BOLTON SCHOOL OF ENGINEERING BSC (HONS) MECHATRONICS TOP-UP SEMESTER 1 EXAMINATION 2017/2018 ADVANCED MECHATRONIC SYSTEMS ENG08 UNIVERSITY OF BOLTON SCHOOL OF ENGINEERING BSC (HONS) MECHATRONICS TOP-UP SEMESTER EXAMINATION 07/08 ADVANCED MECHATRONIC SYSTEMS MODULE NO: MEC600 Date: 7 January 08 Time: 0.00.00 INSTRUCTIONS TO

More information

Study on Nonlinear Perpendicular Flux Observer for Direct-torque-controlled Induction Motor

Study on Nonlinear Perpendicular Flux Observer for Direct-torque-controlled Induction Motor ISSN 1749-3889 (print), 1749-3897 (online) International Journal of Nonlinear Science Vol.6(2008) No.1,pp.73-78 Study on Nonlinear Perpendicular Flux Observer for Direct-torque-controlled Induction Motor

More information

EE 3CL4: Introduction to Control Systems Lab 4: Lead Compensation

EE 3CL4: Introduction to Control Systems Lab 4: Lead Compensation EE 3CL4: Introduction to Control Systems Lab 4: Lead Compensation Tim Davidson Ext. 27352 davidson@mcmaster.ca Objective To use the root locus technique to design a lead compensator for a marginally-stable

More information

State Feedback Controller for Position Control of a Flexible Link

State Feedback Controller for Position Control of a Flexible Link Laboratory 12 Control Systems Laboratory ECE3557 Laboratory 12 State Feedback Controller for Position Control of a Flexible Link 12.1 Objective The objective of this laboratory is to design a full state

More information

Lab 11 - Free, Damped, and Forced Oscillations

Lab 11 - Free, Damped, and Forced Oscillations Lab 11 Free, Damped, and Forced Oscillations L11-1 Name Date Partners Lab 11 - Free, Damped, and Forced Oscillations OBJECTIVES To understand the free oscillations of a mass and spring. To understand how

More information

System Types in Feedback Control with Saturating Actuators

System Types in Feedback Control with Saturating Actuators System Types in Feedback Control with Saturating Actuators Yongsoon Eun, Pierre T. Kabamba, and Semyon M. Meerkov Department of Electrical Engineering and Computer Science, University of Michigan, Ann

More information

MODELING OF CONTROL SYSTEMS

MODELING OF CONTROL SYSTEMS 1 MODELING OF CONTROL SYSTEMS Feb-15 Dr. Mohammed Morsy Outline Introduction Differential equations and Linearization of nonlinear mathematical models Transfer function and impulse response function Laplace

More information