2.010 Fall 2000 Solution of Homework Assignment 7

Size: px
Start display at page:

Download "2.010 Fall 2000 Solution of Homework Assignment 7"

Transcription

1 . Fall Solution of Homework Assignment 7. Control of Hydraulic Servomechanism. We return to the Hydraulic Servomechanism of Problem in Homework Assignment 6 with additional data which permits quantitative treatment of the design requirements. In Eq.(5) of the solution for Problem of Assignment 6 the transfer function from current i to table angular velocit ω t was derived as P max DN i max ω t (s) i(s) I t () s + λ i In Assignment 6, data was provided which enabled us to infer that λ i π rad/sec. Now we are given that a steady current of amp produces a steady angular velocity of 3 RPM, or π rad/sec. The steady-state ratio of angular velocity to current is the zero-frequency value of the frequency response of the angular velocity to current excitation which is the same as the transfer function () evaluated at s, so that P max DN ω t () i() π i max I t P max DN or π () π i max I t When () is substituted back into () the transfer function from current to table angular velocity takes the more compact form ω t (s) i(s) π s +π rad/sec per amp (3) and the open-loop transfer funtion for the system with proportional control shown in Fig. is (See Eq.(9) in the Solution of Homework Assignment 6) OLTF(s) e sensor(s) ω t (s) ω t (s) i(s) i(s) e error (s) GM π s +π (a) Consider the closed-loop system which produces the sensor voltage as output from the reference voltage as input. Its transfer function can be derived from the OLTF(s) above by writing e sensor OLTF(s)e error OLTF(s)(e ref e sensor ) s (4) and solving for e sensor (s) e ref (s) OLTF(s) +OLTF(s) π GM s +πs +π GM (5) Note that this has the standard form e sensor (s) ωn e ref (s) s +ζω n s + ωn

2 e ref + Σ - e sensor e error G i Pmax + i max Σ - P max Q max P Q D τ m ω N e sensor τ t ω t M B t +I t s θ t s ω t θ t Figure : Proportional Control of Hyraulic Servomechanism. with ω n π GM and ζω n π or ζ GM The eigenvalues (roots of the denominator) are λ,λ ζω n ± jω d π ± jπ GM When the gain G is varied the values of ω n and ζ change, but their product ζω n remains constant. As GM varies from.5 amps to the eigenvalues move up and down the line s π. The decay rate for the envelope of under-damped responses is ζω n. (i) When ζ<. the step response has overshoot. When. ζ there is no overshoot. The response with the fastest settling time ( and no overshoot) is the critically damped response with ζ.. Taking into account that M. volt/radian, the magnitude of the gain G required to produce ζ. is G.5 amp/volt. The critically damped response to a unit step of e ref applied at t is e sensor. exp{ ω n t}( + ω n t) which reaches the value.98 when t settling.856 sec. (ii) When ζ <. the under-damped response to a unit step input at t is ζ e sensor. exp{ ω n t}(cos ω d t + sin ω ζ dt) The peak value of this response, at t peak π/ω d, ζ e peak. + exp{ π } ζ is a function only of the damping ratio ζ. The peak value is.5 (5 % overshoot) when ζ.69 which requires that / GM.69, or, with M. volt/radian, G.5 amps/volt. The response (5) passes downward through the value. when t settling.37 sec.

3 (b) The poles associated with the crtitically damped case (G.5) are located at s π and the poles associated with the 5% overshoot case (G.5) are located at s π ± j3.3. These pole locations are sketched in Fig.. Higher gain values produce poles farther out on the vertical line s π. Higher Gain Imag 5 % Overshoot No Overshoot O Real 5 % Overshoot Higher Gain Figure : Pole Locations for Proportional Controller. (c) Transient response performance will not be improved by further increases in gain. The poles for the 5% overshoot case are just about on the 45 degree borderline of desireable performance. Larger gains will decrease the value of ζ and therefore increase the overshoot without changing the settling time appreciably. The envelope of all under-damped responses decays at the rate ζω n π independently of the gain. (d) In between the gains of G.5 and G.5 examined in detail above, is a range of gains with overshoots between zero and 5%, and with settling times between.856 sec and.37 sec. Within these somewhat narrow ranges there is some opportunity for trading off a decrease in overshoot against an increase in settling time with this controller. With the PD controller i(s) G( + sk d )(e error ) the transfer function which had been i(s) e error G 3

4 in Eq.(4) is replaced by i(s) G( + sk d ) e error and the closed-loop transfer function of Eq.(5) is replaced by e sensor (s) e ref (s) π GM( + sk d ) s +πs +π GM( + sk d ) (6) (e) To place the zero in (6) at. Hz 6.95 rad/sec, take K d.447 sec and get e sensor (s).856gms +π GM (7) e ref (s) s + s(π +.856GM)+π GM (f) To use MATLAB to display the step response and the pole-zero map for various gains, it is necesssary to evaluate (7) numerically for each gain-value. In addition to the three cases asked for in the problem statement, we also include for comparison the step response and pole map for the 5% overshoot proportional controller with the closed-loop transfer function (5) e sensor (s) e ref (s) π GM s +πs +π GM.7 s +6.8s +.7 To get the numerical values we have used M. volts/radian and G.5 amps/volt. (i) The closed-loop transfer function for the P-D controller (7) has the following numerical form when GM.5 amps/radian e sensor (s) e ref (s).48s s +7.7s (ii) When GM.5 amps/radian, the numerical form of (7) is e sensor (s) e ref (s) 3.s +.7 s +9.8s +.7 (iii) Finally, when GM.5. amps/radian, the numerical form of (7) is e sensor (s) 6.s +4.4 e ref (s) s +.8s +4.4 The desired step responses and pole-zero maps are then obtained from the following MATLAB session. sysp tf(.7, [ 6.8.7]); syspdi tf([ ], [ ]); 4

5 syspdii tf([3..7], [ 9.8.7]); syspdiii tf([6. 4.4], [.8 4.4]); subplot(,,),step(sysp) subplot(,,),step(syspdi) subplot(,,3),step(syspdii) subplot(,,4),step(syspdiii) subplot(,,),pzmap(sysp) subplot(,,),pzmap(syspdi) subplot(,,3),pzmap(syspdii) subplot(,,4),pzmap(syspdiii) MATLAB displays the four cases in a single figure according to the following plan Proportional 5 % O.S. G.5 P-D (i) G.5 P-D (ii) G.5 P-D (iii) G. Figure 3: MATLAB plot layout. The step responses are shown in Fig. 4 and the pole-zero maps are shown in Fig. 5 5

6 Step Response Step Response.8.8 Amplitude.6.4 Amplitude Time (sec.) Time (sec.) Step Response Step Response.8.8 Amplitude.6.4 Amplitude Time (sec.) Time (sec.) Figure 4: Comparison of Unit Step Responses. (g) In case (i) the response is dominated by the single slow pole at s.6 rad/sec. The response is essentially a first-order response. In case (ii) the two real poles and the zero are fairly close together and all must be considered to determine the response. In case (iii) the pair of conjugate complex poles are the only poles and thus may be considered a dominant pole pair. They have a real part that is quite close to the zero at s 6.9 rad/sec, so the response is influenced by both the poles and the zero. (h) Comparing the step responses in Fig. 4, we see that case (i) looks like a firstorder response, with no overshoot but much slower rise-time and much longer settling-time than the response obtained by simple proportional control with 5% overshoot. In case (ii), with slightly more than twice the gain as in case (i), there is still no overshoot but the rise-time and the settling-time are comparable with those for the proportional controller with 5% overshoot. In case (iii), with twice the gain of case (ii), there is a miniscule overshoot (less than.%), but now the rise-time and the settling-time are only aboout half that 6

7 4 Pole-zero map Pole-zero map.5 Imag Axis Imag Axis Real Axis Real Axis Pole-zero map Pole-zero map.5 Imag Axis Imag Axis Real Axis Real Axis Figure 5: Comparison of Pole-Zero Maps. for the proportional controller with 5% overshoot. It appears that larger gains could decrease the rise-time and settling-time even further, without introducing significant amounts of overshoot.. Actuated Machine Tool Head. We return to the Piezo-Electric Tool Actuator which appeared on the.4 Final Exam last June (See.4 Spring Solution of Final Examination). The solution here follows the Notes Models of Piezo-Electric Transducers distributed this week. The physical system consists of a mass m which can move in the x-direction, positive to the right, acted on by an elastic restraining force, kx, a damping force, bẋ, and a piezo-electric force f dk sc e a k sc x where e a is the voltage applied to the transducer, d is the given piezo-electric strain constant and k sc is the short-circuit stiffness of the transducer, which must be determined from the given information regarding the open-circuit stiffness and the free capacitance. 7

8 (a) The equation of motion is dk sc e a k sc x kx bẋ mẍ and the transfer function from voltage to displacement is P (s) x(s) e a (s) dk sc ms + bs +(k + k sc ) () The equation of motion is a second-order differential equation and the transfer function has a second-order polynomial in the denominator, both of which indicate a second-order dynamic model. Before going further, let us determine the value of the short-circuit stiffness k sc. The open-circuit stiffness is k oc A h Y (.) 7.e 7.e9 N/m. and the free capacitance is C fr A h ɛ oɛ r (.) (8.85e-)(45) 3.98e- Farads. Now on page 4 of the Notes Models of Piezo-Electric Transducers is the following formula for k sc k sc + d k oc C fr k oc + d k oc C fr which on substitution of the above values of k oc and C fr along with the given value of d, yields k sc 5.6e9 N/m. The numerical form of () is then P (s) x(s) e a (s).737 s + 4e4s +5.7e9.368 s + e4s +.64e9 () The behavioral parameters of the transducer are ω n.64e9 5, 4 rad/sec or f n 8, 8 Hz and ζ ζω n e4 ω n 5, Note that this is an extremely stiff system, with an ultrasonic resonant frequency. 8

9 e r + - Σ e x eerror G e a P(s) x(s)/ea (s) e x M x x x Figure 6: Proportional Control of Piezo-electric Transducer. (b) The open-loop transfer function for the proportional control of Fig.6 is OLTF(S) e x(s) e error GP (s)m x and thus the error transfer function is ERTF(s) e error e r +OLTF(s).368GM x s + e4s +.64e9 s + e4s +.64e9 s + e4s +.64e GM x The steady-state unit step response error is the limit as s of ERTF(s). This steady-state error is e ss.64e9.64e GM x which is never zero for finite gain, although e ss can be made small by making GM x very large. (c) The steady-state unit step response error e ss can be reduced to. by taking GM x.64e9.368 (. ).87e volt/m In practice such a large factor would be split into a very sensitive sensor with M x of the order of one volt per microns and with G of the order of 3,. (d) With PI control the simple gain G is replaced by the operator G(s+K i )/s. The open-loop transfer function then becomes OLTF(S) e x(s) G s + K i P (s)m x.368gm x(s + K i ) e error s s(s + e4s +.64e9) and the error transfer function becomes ERTF(s) e error e r s(s + e4s +.64e9) s(s + e4s +.64e9) +.368GM x (s + K i ) Here we see that the limit as s of ERTF(s) is zero, so the steady-state step response error is zero. 9

10 (e) the closed-loop transfer function for the system with PI control is CLTF(s) e x(s) e r (s).368gm x (s + K i ) s(s +e4+.64e9) +.368GM x (s + K i ) (3) The real part of the physical system poles is ζω n, rad/sec. If the zero is to be placed midway between s and s,, it is necessary to take K i 5, rad/sec. (f) With K i 5, rad/sec and GM x.87e volt/m, the closed-loop transfer function (3) becomes CLTF(s) e x(s) e r (s).56es +5.8e3 s 3 + e4s +.3es +5.8e3 Step Response.5 Amplitude Time (sec.) x -3 Figure 7: Step Response of Piezo-electric Transducer with PI Control. The unit step response and the pole-zero map for this system is obtained from the following MATLAB session:

11 syspe tf([.56e 5.8E3], [ E4.3E 5.8E3]); step(syspe) pzmap(syspe) The resulting plot of the step response is shown in Fig. 7, and the resulting pole-zero map is shown in Fig x 5 Pole-zero map.5 Imag Axis Real Axis Figure 8: Pole-Zero Map for Piezo-electric Transducer with PI Control. Note the high-frequency ringing (from the pair of complex-conjugate poles) superposed on the first-order step response (due to the real pole) in the step response displayed in Fig. 7.

2.010 Fall 2000 Solution of Homework Assignment 8

2.010 Fall 2000 Solution of Homework Assignment 8 2.1 Fall 2 Solution of Homework Assignment 8 1. Root Locus Analysis of Hydraulic Servomechanism. The block diagram of the controlled hydraulic servomechanism is shown in Fig. 1 e r e error + i Σ C(s) P(s)

More information

MASSACHUSETTS INSTITUTE OF TECHNOLOGY Department of Mechanical Engineering Dynamics and Control II Fall 2007

MASSACHUSETTS INSTITUTE OF TECHNOLOGY Department of Mechanical Engineering Dynamics and Control II Fall 2007 MASSACHUSETTS INSTITUTE OF TECHNOLOGY Department of Mechanical Engineering.4 Dynamics and Control II Fall 7 Problem Set #9 Solution Posted: Sunday, Dec., 7. The.4 Tower system. The system parameters are

More information

Control of Manufacturing Processes

Control of Manufacturing Processes Control of Manufacturing Processes Subject 2.830 Spring 2004 Lecture #19 Position Control and Root Locus Analysis" April 22, 2004 The Position Servo Problem, reference position NC Control Robots Injection

More information

Chapter 2 SDOF Vibration Control 2.1 Transfer Function

Chapter 2 SDOF Vibration Control 2.1 Transfer Function Chapter SDOF Vibration Control.1 Transfer Function mx ɺɺ( t) + cxɺ ( t) + kx( t) = F( t) Defines the transfer function as output over input X ( s) 1 = G( s) = (1.39) F( s) ms + cs + k s is a complex number:

More information

Transient Response of a Second-Order System

Transient Response of a Second-Order System Transient Response of a Second-Order System ECEN 830 Spring 01 1. Introduction In connection with this experiment, you are selecting the gains in your feedback loop to obtain a well-behaved closed-loop

More information

6.1 Sketch the z-domain root locus and find the critical gain for the following systems K., the closed-loop characteristic equation is K + z 0.

6.1 Sketch the z-domain root locus and find the critical gain for the following systems K., the closed-loop characteristic equation is K + z 0. 6. Sketch the z-domain root locus and find the critical gain for the following systems K (i) Gz () z 4. (ii) Gz K () ( z+ 9. )( z 9. ) (iii) Gz () Kz ( z. )( z ) (iv) Gz () Kz ( + 9. ) ( z. )( z 8. ) (i)

More information

MAS107 Control Theory Exam Solutions 2008

MAS107 Control Theory Exam Solutions 2008 MAS07 CONTROL THEORY. HOVLAND: EXAM SOLUTION 2008 MAS07 Control Theory Exam Solutions 2008 Geir Hovland, Mechatronics Group, Grimstad, Norway June 30, 2008 C. Repeat question B, but plot the phase curve

More information

EE C128 / ME C134 Fall 2014 HW 6.2 Solutions. HW 6.2 Solutions

EE C128 / ME C134 Fall 2014 HW 6.2 Solutions. HW 6.2 Solutions EE C28 / ME C34 Fall 24 HW 6.2 Solutions. PI Controller For the system G = K (s+)(s+3)(s+8) HW 6.2 Solutions in negative feedback operating at a damping ratio of., we are going to design a PI controller

More information

Control of Manufacturing Processes

Control of Manufacturing Processes Control of Manufacturing Processes Subject 2.830 Spring 2004 Lecture #18 Basic Control Loop Analysis" April 15, 2004 Revisit Temperature Control Problem τ dy dt + y = u τ = time constant = gain y ss =

More information

MASSACHUSETTS INSTITUTE OF TECHNOLOGY Department of Mechanical Engineering 2.04A Systems and Controls Spring 2013

MASSACHUSETTS INSTITUTE OF TECHNOLOGY Department of Mechanical Engineering 2.04A Systems and Controls Spring 2013 MASSACHUSETTS INSTITUTE OF TECHNOLOGY Department of Mechanical Engineering 2.04A Systems and Controls Spring 2013 Problem Set #4 Posted: Thursday, Mar. 7, 13 Due: Thursday, Mar. 14, 13 1. Sketch the Root

More information

Professor Fearing EE C128 / ME C134 Problem Set 2 Solution Fall 2010 Jansen Sheng and Wenjie Chen, UC Berkeley

Professor Fearing EE C128 / ME C134 Problem Set 2 Solution Fall 2010 Jansen Sheng and Wenjie Chen, UC Berkeley Professor Fearing EE C128 / ME C134 Problem Set 2 Solution Fall 21 Jansen Sheng and Wenjie Chen, UC Berkeley 1. (15 pts) Partial fraction expansion (review) Find the inverse Laplace transform of the following

More information

Homework 7 - Solutions

Homework 7 - Solutions Homework 7 - Solutions Note: This homework is worth a total of 48 points. 1. Compensators (9 points) For a unity feedback system given below, with G(s) = K s(s + 5)(s + 11) do the following: (c) Find the

More information

Dr Ian R. Manchester Dr Ian R. Manchester AMME 3500 : Review

Dr Ian R. Manchester Dr Ian R. Manchester AMME 3500 : Review Week Date Content Notes 1 6 Mar Introduction 2 13 Mar Frequency Domain Modelling 3 20 Mar Transient Performance and the s-plane 4 27 Mar Block Diagrams Assign 1 Due 5 3 Apr Feedback System Characteristics

More information

Outline. Classical Control. Lecture 1

Outline. Classical Control. Lecture 1 Outline Outline Outline 1 Introduction 2 Prerequisites Block diagram for system modeling Modeling Mechanical Electrical Outline Introduction Background Basic Systems Models/Transfers functions 1 Introduction

More information

100 (s + 10) (s + 100) e 0.5s. s 100 (s + 10) (s + 100). G(s) =

100 (s + 10) (s + 100) e 0.5s. s 100 (s + 10) (s + 100). G(s) = 1 AME 3315; Spring 215; Midterm 2 Review (not graded) Problems: 9.3 9.8 9.9 9.12 except parts 5 and 6. 9.13 except parts 4 and 5 9.28 9.34 You are given the transfer function: G(s) = 1) Plot the bode plot

More information

First and Second Order Circuits. Claudio Talarico, Gonzaga University Spring 2015

First and Second Order Circuits. Claudio Talarico, Gonzaga University Spring 2015 First and Second Order Circuits Claudio Talarico, Gonzaga University Spring 2015 Capacitors and Inductors intuition: bucket of charge q = Cv i = C dv dt Resist change of voltage DC open circuit Store voltage

More information

AN INTRODUCTION TO THE CONTROL THEORY

AN INTRODUCTION TO THE CONTROL THEORY Open-Loop controller An Open-Loop (OL) controller is characterized by no direct connection between the output of the system and its input; therefore external disturbance, non-linear dynamics and parameter

More information

a. Closed-loop system; b. equivalent transfer function Then the CLTF () T is s the poles of () T are s from a contribution of a

a. Closed-loop system; b. equivalent transfer function Then the CLTF () T is s the poles of () T are s from a contribution of a Root Locus Simple definition Locus of points on the s- plane that represents the poles of a system as one or more parameter vary. RL and its relation to poles of a closed loop system RL and its relation

More information

Chapter 3. State Feedback - Pole Placement. Motivation

Chapter 3. State Feedback - Pole Placement. Motivation Chapter 3 State Feedback - Pole Placement Motivation Whereas classical control theory is based on output feedback, this course mainly deals with control system design by state feedback. This model-based

More information

If you need more room, use the backs of the pages and indicate that you have done so.

If you need more room, use the backs of the pages and indicate that you have done so. EE 343 Exam II Ahmad F. Taha Spring 206 Your Name: Your Signature: Exam duration: hour and 30 minutes. This exam is closed book, closed notes, closed laptops, closed phones, closed tablets, closed pretty

More information

Second Order Systems

Second Order Systems Second Order Systems independent energy storage elements => Resonance: inertance & capacitance trade energy, kinetic to potential Example: Automobile Suspension x z vertical motions suspension spring shock

More information

Introduction to Feedback Control

Introduction to Feedback Control Introduction to Feedback Control Control System Design Why Control? Open-Loop vs Closed-Loop (Feedback) Why Use Feedback Control? Closed-Loop Control System Structure Elements of a Feedback Control System

More information

Outline. Classical Control. Lecture 5

Outline. Classical Control. Lecture 5 Outline Outline Outline 1 What is 2 Outline What is Why use? Sketching a 1 What is Why use? Sketching a 2 Gain Controller Lead Compensation Lag Compensation What is Properties of a General System Why use?

More information

ECSE 4962 Control Systems Design. A Brief Tutorial on Control Design

ECSE 4962 Control Systems Design. A Brief Tutorial on Control Design ECSE 4962 Control Systems Design A Brief Tutorial on Control Design Instructor: Professor John T. Wen TA: Ben Potsaid http://www.cat.rpi.edu/~wen/ecse4962s04/ Don t Wait Until The Last Minute! You got

More information

Goals for today 2.004

Goals for today 2.004 Goals for today Block diagrams revisited Block diagram components Block diagram cascade Summing and pickoff junctions Feedback topology Negative vs positive feedback Example of a system with feedback Derivation

More information

Course roadmap. Step response for 2nd-order system. Step response for 2nd-order system

Course roadmap. Step response for 2nd-order system. Step response for 2nd-order system ME45: Control Systems Lecture Time response of nd-order systems Prof. Clar Radcliffe and Prof. Jongeun Choi Department of Mechanical Engineering Michigan State University Modeling Laplace transform Transfer

More information

Dynamic Behavior. Chapter 5

Dynamic Behavior. Chapter 5 1 Dynamic Behavior In analyzing process dynamic and process control systems, it is important to know how the process responds to changes in the process inputs. A number of standard types of input changes

More information

Chapter 5 HW Solution

Chapter 5 HW Solution Chapter 5 HW Solution Review Questions. 1, 6. As usual, I think these are just a matter of text lookup. 1. Name the four components of a block diagram for a linear, time-invariant system. Let s see, I

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

Dynamic Response. Assoc. Prof. Enver Tatlicioglu. Department of Electrical & Electronics Engineering Izmir Institute of Technology.

Dynamic Response. Assoc. Prof. Enver Tatlicioglu. Department of Electrical & Electronics Engineering Izmir Institute of Technology. Dynamic Response Assoc. Prof. Enver Tatlicioglu Department of Electrical & Electronics Engineering Izmir Institute of Technology Chapter 3 Assoc. Prof. Enver Tatlicioglu (EEE@IYTE) EE362 Feedback Control

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

Proportional plus Integral (PI) Controller

Proportional plus Integral (PI) Controller Proportional plus Integral (PI) Controller 1. A pole is placed at the origin 2. This causes the system type to increase by 1 and as a result the error is reduced to zero. 3. Originally a point A is on

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

Control Systems, Lecture04

Control Systems, Lecture04 Control Systems, Lecture04 İbrahim Beklan Küçükdemiral Yıldız Teknik Üniversitesi 2015 1 / 53 Transfer Functions The output response of a system is the sum of two responses: the forced response and the

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

Modeling and Experimentation: Mass-Spring-Damper System Dynamics

Modeling and Experimentation: Mass-Spring-Damper System Dynamics Modeling and Experimentation: Mass-Spring-Damper System Dynamics Prof. R.G. Longoria Department of Mechanical Engineering The University of Texas at Austin July 20, 2014 Overview 1 This lab is meant to

More information

Control Systems. Design of State Feedback Control.

Control Systems. Design of State Feedback Control. Control Systems Design of State Feedback Control chibum@seoultech.ac.kr Outline Design of State feedback control Dominant pole design Symmetric root locus (linear quadratic regulation) 2 Selection of closed-loop

More information

Software Engineering 3DX3. Slides 8: Root Locus Techniques

Software Engineering 3DX3. Slides 8: Root Locus Techniques Software Engineering 3DX3 Slides 8: Root Locus Techniques Dr. Ryan Leduc Department of Computing and Software McMaster University Material based on Control Systems Engineering by N. Nise. c 2006, 2007

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

2.010 Fall 2000 Solution of Homework Assignment 1

2.010 Fall 2000 Solution of Homework Assignment 1 2. Fall 2 Solution of Homework Assignment. Compact Disk Player. This is essentially a reprise of Problems and 2 from the Fall 999 2.3 Homework Assignment 7. t is included here to encourage you to review

More information

KINGS COLLEGE OF ENGINEERING DEPARTMENT OF ELECTRONICS AND COMMUNICATION ENGINEERING

KINGS COLLEGE OF ENGINEERING DEPARTMENT OF ELECTRONICS AND COMMUNICATION ENGINEERING KINGS COLLEGE OF ENGINEERING DEPARTMENT OF ELECTRONICS AND COMMUNICATION ENGINEERING QUESTION BANK SUB.NAME : CONTROL SYSTEMS BRANCH : ECE YEAR : II SEMESTER: IV 1. What is control system? 2. Define open

More information

Example on Root Locus Sketching and Control Design

Example on Root Locus Sketching and Control Design Example on Root Locus Sketching and Control Design MCE44 - Spring 5 Dr. Richter April 25, 25 The following figure represents the system used for controlling the robotic manipulator of a Mars Rover. We

More information

Lab Experiment 2: Performance of First order and second order systems

Lab Experiment 2: Performance of First order and second order systems Lab Experiment 2: Performance of First order and second order systems Objective: The objective of this exercise will be to study the performance characteristics of first and second order systems using

More information

1 x(k +1)=(Φ LH) x(k) = T 1 x 2 (k) x1 (0) 1 T x 2(0) T x 1 (0) x 2 (0) x(1) = x(2) = x(3) =

1 x(k +1)=(Φ LH) x(k) = T 1 x 2 (k) x1 (0) 1 T x 2(0) T x 1 (0) x 2 (0) x(1) = x(2) = x(3) = 567 This is often referred to as Þnite settling time or deadbeat design because the dynamics will settle in a Þnite number of sample periods. This estimator always drives the error to zero in time 2T or

More information

Homework Assignment 3

Homework Assignment 3 ECE382/ME482 Fall 2008 Homework 3 Solution October 20, 2008 1 Homework Assignment 3 Assigned September 30, 2008. Due in lecture October 7, 2008. Note that you must include all of your work to obtain full

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

MASSACHUSETTS INSTITUTE OF TECHNOLOGY Department of Mechanical Engineering Dynamics and Control II Fall K(s +1)(s +2) G(s) =.

MASSACHUSETTS INSTITUTE OF TECHNOLOGY Department of Mechanical Engineering Dynamics and Control II Fall K(s +1)(s +2) G(s) =. MASSACHUSETTS INSTITUTE OF TECHNOLOGY Department of Mechanical Engineering. Dynamics and Control II Fall 7 Problem Set #7 Solution Posted: Friday, Nov., 7. Nise problem 5 from chapter 8, page 76. Answer:

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

Systems Analysis and Control

Systems Analysis and Control Systems Analysis and Control Matthew M. Peet Arizona State University Lecture 21: Stability Margins and Closing the Loop Overview In this Lecture, you will learn: Closing the Loop Effect on Bode Plot Effect

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

Discrete Systems. Step response and pole locations. Mark Cannon. Hilary Term Lecture

Discrete Systems. Step response and pole locations. Mark Cannon. Hilary Term Lecture Discrete Systems Mark Cannon Hilary Term 22 - Lecture 4 Step response and pole locations 4 - Review Definition of -transform: U() = Z{u k } = u k k k= Discrete transfer function: Y () U() = G() = Z{g k},

More information

PD, PI, PID Compensation. M. Sami Fadali Professor of Electrical Engineering University of Nevada

PD, PI, PID Compensation. M. Sami Fadali Professor of Electrical Engineering University of Nevada PD, PI, PID Compensation M. Sami Fadali Professor of Electrical Engineering University of Nevada 1 Outline PD compensation. PI compensation. PID compensation. 2 PD Control L= loop gain s cl = desired closed-loop

More information

Compensator Design to Improve Transient Performance Using Root Locus

Compensator Design to Improve Transient Performance Using Root Locus 1 Compensator Design to Improve Transient Performance Using Root Locus Prof. Guy Beale Electrical and Computer Engineering Department George Mason University Fairfax, Virginia Correspondence concerning

More information

Systems Analysis and Control

Systems Analysis and Control Systems Analysis and Control Matthew M. Peet Illinois Institute of Technology Lecture 8: Response Characteristics Overview In this Lecture, you will learn: Characteristics of the Response Stability Real

More information

Alireza Mousavi Brunel University

Alireza Mousavi Brunel University Alireza Mousavi Brunel University 1 » Control Process» Control Systems Design & Analysis 2 Open-Loop Control: Is normally a simple switch on and switch off process, for example a light in a room is switched

More information

Subject: BT6008 Process Measurement and Control. The General Control System

Subject: BT6008 Process Measurement and Control. The General Control System WALJAT COLLEGES OF APPLIED SCIENCES In academic partnership with BIRLA INSTITUTE OF TECHNOLOGY Question Bank Course: Biotechnology Session: 005-006 Subject: BT6008 Process Measurement and Control Semester:

More information

Unit 8: Part 2: PD, PID, and Feedback Compensation

Unit 8: Part 2: PD, PID, and Feedback Compensation Ideal Derivative Compensation (PD) Lead Compensation PID Controller Design Feedback Compensation Physical Realization of Compensation Unit 8: Part 2: PD, PID, and Feedback Compensation Engineering 5821:

More information

UNIVERSITY OF BOLTON SCHOOL OF ENGINEERING BENG (HONS) IN BIOMEDICAL ENGINEERING SEMESTER 1 EXAMINATION 2017/2018 ADVANCED BIOMECHATRONIC SYSTEMS

UNIVERSITY OF BOLTON SCHOOL OF ENGINEERING BENG (HONS) IN BIOMEDICAL ENGINEERING SEMESTER 1 EXAMINATION 2017/2018 ADVANCED BIOMECHATRONIC SYSTEMS ENG0016 UNIVERSITY OF BOLTON SCHOOL OF ENGINEERING BENG (HONS) IN BIOMEDICAL ENGINEERING SEMESTER 1 EXAMINATION 2017/2018 ADVANCED BIOMECHATRONIC SYSTEMS MODULE NO: BME6003 Date: Friday 19 January 2018

More information

Chapter 12. Feedback Control Characteristics of Feedback Systems

Chapter 12. Feedback Control Characteristics of Feedback Systems Chapter 1 Feedbac Control Feedbac control allows a system dynamic response to be modified without changing any system components. Below, we show an open-loop system (a system without feedbac) and a closed-loop

More information

u (t t ) + e ζωn (t tw )

u (t t ) + e ζωn (t tw ) LINEAR CIRCUITS LABORATORY OSCILLATIONS AND DAMPING EFFECT PART I TRANSIENT RESPONSE TO A SQUARE PULSE Transfer Function F(S) = ω n 2 S 2 + 2ζω n S + ω n 2 F(S) = S 2 + 3 RC ( RC) 2 S + 1 RC ( ) 2 where

More information

PID controllers. Laith Batarseh. PID controllers

PID controllers. Laith Batarseh. PID controllers Next Previous 24-Jan-15 Chapter six Laith Batarseh Home End The controller choice is an important step in the control process because this element is responsible of reducing the error (e ss ), rise time

More information

EE 380 EXAM II 3 November 2011 Last Name (Print): First Name (Print): ID number (Last 4 digits): Section: DO NOT TURN THIS PAGE UNTIL YOU ARE TOLD TO

EE 380 EXAM II 3 November 2011 Last Name (Print): First Name (Print): ID number (Last 4 digits): Section: DO NOT TURN THIS PAGE UNTIL YOU ARE TOLD TO EE 380 EXAM II 3 November 2011 Last Name (Print): First Name (Print): ID number (Last 4 digits): Section: DO NOT TURN THIS PAGE UNTIL YOU ARE TOLD TO DO SO Problem Weight Score 1 25 2 25 3 25 4 25 Total

More information

ECE-320: Linear Control Systems Homework 8. 1) For one of the rectilinear systems in lab, I found the following state variable representations:

ECE-320: Linear Control Systems Homework 8. 1) For one of the rectilinear systems in lab, I found the following state variable representations: ECE-30: Linear Control Systems Homework 8 Due: Thursday May 6, 00 at the beginning of class ) For one of the rectilinear systems in lab, I found the following state variable representations: 0 0 q q+ 74.805.6469

More information

6.003 Homework #7 Solutions

6.003 Homework #7 Solutions 6.003 Homework #7 Solutions Problems. Secon-orer systems The impulse response of a secon-orer CT system has the form h(t) = e σt cos(ω t + φ)u(t) where the parameters σ, ω, an φ are relate to the parameters

More information

Transient Stability Analysis with PowerWorld Simulator

Transient Stability Analysis with PowerWorld Simulator Transient Stability Analysis with PowerWorld Simulator T11: Single Machine Infinite Bus Modeling (SMIB) 21 South First Street Champaign, Illinois 6182 +1 (217) 384.633 support@powerworld.com http://www.powerworld.com

More information

Chapter 6 - Solved Problems

Chapter 6 - Solved Problems Chapter 6 - Solved Problems Solved Problem 6.. Contributed by - James Welsh, University of Newcastle, Australia. Find suitable values for the PID parameters using the Z-N tuning strategy for the nominal

More information

Problem Value Score Total 100/105

Problem Value Score Total 100/105 RULES This is a closed book, closed notes test. You are, however, allowed one piece of paper (front side only) for notes and definitions, but no sample problems. The top half is the same as from the first

More information

ME 375 EXAM #1 Friday, March 13, 2015 SOLUTION

ME 375 EXAM #1 Friday, March 13, 2015 SOLUTION ME 375 EXAM #1 Friday, March 13, 2015 SOLUTION PROBLEM 1 A system is made up of a homogeneous disk (of mass m and outer radius R), particle A (of mass m) and particle B (of mass m). The disk is pinned

More information

Topic # Feedback Control Systems

Topic # Feedback Control Systems Topic #1 16.31 Feedback Control Systems Motivation Basic Linear System Response Fall 2007 16.31 1 1 16.31: Introduction r(t) e(t) d(t) y(t) G c (s) G(s) u(t) Goal: Design a controller G c (s) so that the

More information

Chapter 7: Time Domain Analysis

Chapter 7: Time Domain Analysis Chapter 7: Time Domain Analysis Samantha Ramirez Preview Questions How do the system parameters affect the response? How are the parameters linked to the system poles or eigenvalues? How can Laplace transforms

More information

Module 3F2: Systems and Control EXAMPLES PAPER 2 ROOT-LOCUS. Solutions

Module 3F2: Systems and Control EXAMPLES PAPER 2 ROOT-LOCUS. Solutions Cambridge University Engineering Dept. Third Year Module 3F: Systems and Control EXAMPLES PAPER ROOT-LOCUS Solutions. (a) For the system L(s) = (s + a)(s + b) (a, b both real) show that the root-locus

More information

Dr Ian R. Manchester

Dr Ian R. Manchester Week Content Notes 1 Introduction 2 Frequency Domain Modelling 3 Transient Performance and the s-plane 4 Block Diagrams 5 Feedback System Characteristics Assign 1 Due 6 Root Locus 7 Root Locus 2 Assign

More information

EE C128 / ME C134 Fall 2014 HW 9 Solutions. HW 9 Solutions. 10(s + 3) s(s + 2)(s + 5) G(s) =

EE C128 / ME C134 Fall 2014 HW 9 Solutions. HW 9 Solutions. 10(s + 3) s(s + 2)(s + 5) G(s) = 1. Pole Placement Given the following open-loop plant, HW 9 Solutions G(s) = 1(s + 3) s(s + 2)(s + 5) design the state-variable feedback controller u = Kx + r, where K = [k 1 k 2 k 3 ] is the feedback

More information

AMME3500: System Dynamics & Control

AMME3500: System Dynamics & Control Stefan B. Williams May, 211 AMME35: System Dynamics & Control Assignment 4 Note: This assignment contributes 15% towards your final mark. This assignment is due at 4pm on Monday, May 3 th during Week 13

More information

Lab # 4 Time Response Analysis

Lab # 4 Time Response Analysis Islamic University of Gaza Faculty of Engineering Computer Engineering Dep. Feedback Control Systems Lab Eng. Tareq Abu Aisha Lab # 4 Lab # 4 Time Response Analysis What is the Time Response? It is an

More information

Transduction Based on Changes in the Energy Stored in an Electrical Field

Transduction Based on Changes in the Energy Stored in an Electrical Field Lecture 6- Transduction Based on Changes in the Energy Stored in an Electrical Field Actuator Examples Microgrippers Normal force driving In-plane force driving» Comb-drive device F = εav d 1 ε oε F rwv

More information

1 (20 pts) Nyquist Exercise

1 (20 pts) Nyquist Exercise EE C128 / ME134 Problem Set 6 Solution Fall 2011 1 (20 pts) Nyquist Exercise Consider a close loop system with unity feedback. For each G(s), hand sketch the Nyquist diagram, determine Z = P N, algebraically

More information

CHAPTER 7 STEADY-STATE RESPONSE ANALYSES

CHAPTER 7 STEADY-STATE RESPONSE ANALYSES CHAPTER 7 STEADY-STATE RESPONSE ANALYSES 1. Introduction The steady state error is a measure of system accuracy. These errors arise from the nature of the inputs, system type and from nonlinearities of

More information

Lecture 25: Tue Nov 27, 2018

Lecture 25: Tue Nov 27, 2018 Lecture 25: Tue Nov 27, 2018 Reminder: Lab 3 moved to Tuesday Dec 4 Lecture: review time-domain characteristics of 2nd-order systems intro to control: feedback open-loop vs closed-loop control intro to

More information

ECE382/ME482 Spring 2005 Homework 6 Solution April 17, (s/2 + 1) s(2s + 1)[(s/8) 2 + (s/20) + 1]

ECE382/ME482 Spring 2005 Homework 6 Solution April 17, (s/2 + 1) s(2s + 1)[(s/8) 2 + (s/20) + 1] ECE382/ME482 Spring 25 Homework 6 Solution April 17, 25 1 Solution to HW6 P8.17 We are given a system with open loop transfer function G(s) = 4(s/2 + 1) s(2s + 1)[(s/8) 2 + (s/2) + 1] (1) and unity negative

More information

ME 375 Final Examination Thursday, May 7, 2015 SOLUTION

ME 375 Final Examination Thursday, May 7, 2015 SOLUTION ME 375 Final Examination Thursday, May 7, 2015 SOLUTION POBLEM 1 (25%) negligible mass wheels negligible mass wheels v motor no slip ω r r F D O no slip e in Motor% Cart%with%motor%a,ached% The coupled

More information

Dynamic Modeling. For the mechanical translational system shown in Figure 1, determine a set of first order

Dynamic Modeling. For the mechanical translational system shown in Figure 1, determine a set of first order QUESTION 1 For the mechanical translational system shown in, determine a set of first order differential equations describing the system dynamics. Identify the state variables and inputs. y(t) x(t) k m

More information

Chapter 8: Frequency Domain Analysis

Chapter 8: Frequency Domain Analysis Chapter 8: Frequency Domain Analysis Samantha Ramirez Preview Questions 1. What is the steady-state response of a linear system excited by a cyclic or oscillatory input? 2. How does one characterize the

More information

ECE137B Final Exam. There are 5 problems on this exam and you have 3 hours There are pages 1-19 in the exam: please make sure all are there.

ECE137B Final Exam. There are 5 problems on this exam and you have 3 hours There are pages 1-19 in the exam: please make sure all are there. ECE37B Final Exam There are 5 problems on this exam and you have 3 hours There are pages -9 in the exam: please make sure all are there. Do not open this exam until told to do so Show all work: Credit

More information

University of Alberta ENGM 541: Modeling and Simulation of Engineering Systems Laboratory #7. M.G. Lipsett & M. Mashkournia 2011

University of Alberta ENGM 541: Modeling and Simulation of Engineering Systems Laboratory #7. M.G. Lipsett & M. Mashkournia 2011 ENG M 54 Laboratory #7 University of Alberta ENGM 54: Modeling and Simulation of Engineering Systems Laboratory #7 M.G. Lipsett & M. Mashkournia 2 Mixed Systems Modeling with MATLAB & SIMULINK Mixed systems

More information

Department of Mechanical Engineering Massachusetts Institute of Technology Modeling, Dynamics and Control III Spring 2002

Department of Mechanical Engineering Massachusetts Institute of Technology Modeling, Dynamics and Control III Spring 2002 Department of Mechanical Engineering Massachusetts Institute of Technology.00 Modeling, Dynamics and Control III Spring 00 SOLUTIONS: Problem Set # Problem a b This problem is aimed at helping you picture

More information

Two-Mass, Three-Spring Dynamic System Investigation Case Study

Two-Mass, Three-Spring Dynamic System Investigation Case Study Two-ass, Three-Spring Dynamic System Investigation Case Study easurements, Calculations, anufacturer's Specifications odel Parameter Identification Which Parameters to Identify? What Tests to Perform?

More information

Course Summary. The course cannot be summarized in one lecture.

Course Summary. The course cannot be summarized in one lecture. Course Summary Unit 1: Introduction Unit 2: Modeling in the Frequency Domain Unit 3: Time Response Unit 4: Block Diagram Reduction Unit 5: Stability Unit 6: Steady-State Error Unit 7: Root Locus Techniques

More information

CDS 101/110 Homework #7 Solution

CDS 101/110 Homework #7 Solution Amplitude Amplitude CDS / Homework #7 Solution Problem (CDS, CDS ): (5 points) From (.), k i = a = a( a)2 P (a) Note that the above equation is unbounded, so it does not make sense to talk about maximum

More information

Chemical Process Dynamics and Control. Aisha Osman Mohamed Ahmed Department of Chemical Engineering Faculty of Engineering, Red Sea University

Chemical Process Dynamics and Control. Aisha Osman Mohamed Ahmed Department of Chemical Engineering Faculty of Engineering, Red Sea University Chemical Process Dynamics and Control Aisha Osman Mohamed Ahmed Department of Chemical Engineering Faculty of Engineering, Red Sea University 1 Chapter 4 System Stability 2 Chapter Objectives End of this

More information

Part IB Paper 6: Information Engineering LINEAR SYSTEMS AND CONTROL. Glenn Vinnicombe HANDOUT 5. An Introduction to Feedback Control Systems

Part IB Paper 6: Information Engineering LINEAR SYSTEMS AND CONTROL. Glenn Vinnicombe HANDOUT 5. An Introduction to Feedback Control Systems Part IB Paper 6: Information Engineering LINEAR SYSTEMS AND CONTROL Glenn Vinnicombe HANDOUT 5 An Introduction to Feedback Control Systems ē(s) ȳ(s) Σ K(s) G(s) z(s) H(s) z(s) = H(s)G(s)K(s) L(s) ē(s)=

More information

] [ 200. ] 3 [ 10 4 s. [ ] s + 10 [ P = s [ 10 8 ] 3. s s (s 1)(s 2) series compensator ] 2. s command pre-filter [ 0.

] [ 200. ] 3 [ 10 4 s. [ ] s + 10 [ P = s [ 10 8 ] 3. s s (s 1)(s 2) series compensator ] 2. s command pre-filter [ 0. EEE480 Exam 2, Spring 204 A.A. Rodriguez Rules: Calculators permitted, One 8.5 sheet, closed notes/books, open minds GWC 352, 965-372 Problem (Analysis of a Feedback System) Consider the feedback system

More information

Laboratory handout 5 Mode shapes and resonance

Laboratory handout 5 Mode shapes and resonance laboratory handouts, me 34 82 Laboratory handout 5 Mode shapes and resonance In this handout, material and assignments marked as optional can be skipped when preparing for the lab, but may provide a useful

More information

VALLIAMMAI ENGINEERING COLLEGE SRM Nagar, Kattankulathur

VALLIAMMAI ENGINEERING COLLEGE SRM Nagar, Kattankulathur VALLIAMMAI ENGINEERING COLLEGE SRM Nagar, Kattankulathur 603 203. DEPARTMENT OF ELECTRONICS & COMMUNICATION ENGINEERING SUBJECT QUESTION BANK : EC6405 CONTROL SYSTEM ENGINEERING SEM / YEAR: IV / II year

More information

ME 304 CONTROL SYSTEMS Spring 2016 MIDTERM EXAMINATION II

ME 304 CONTROL SYSTEMS Spring 2016 MIDTERM EXAMINATION II ME 30 CONTROL SYSTEMS Spring 06 Course Instructors Dr. Tuna Balkan, Dr. Kıvanç Azgın, Dr. Ali Emre Turgut, Dr. Yiğit Yazıcıoğlu MIDTERM EXAMINATION II May, 06 Time Allowed: 00 minutes Closed Notes and

More information

INTRODUCTION TO DIGITAL CONTROL

INTRODUCTION TO DIGITAL CONTROL ECE4540/5540: Digital Control Systems INTRODUCTION TO DIGITAL CONTROL.: Introduction In ECE450/ECE550 Feedback Control Systems, welearnedhow to make an analog controller D(s) to control a linear-time-invariant

More information

Dr Ian R. Manchester Dr Ian R. Manchester AMME 3500 : Root Locus

Dr Ian R. Manchester Dr Ian R. Manchester AMME 3500 : Root Locus Week Content Notes 1 Introduction 2 Frequency Domain Modelling 3 Transient Performance and the s-plane 4 Block Diagrams 5 Feedback System Characteristics Assign 1 Due 6 Root Locus 7 Root Locus 2 Assign

More information

INSTITUTE OF AERONAUTICAL ENGINEERING (Autonomous) Dundigal, Hyderabad

INSTITUTE OF AERONAUTICAL ENGINEERING (Autonomous) Dundigal, Hyderabad INSTITUTE OF AERONAUTICAL ENGINEERING (Autonomous) Dundigal, Hyderabad - 500 043 Electrical and Electronics Engineering TUTORIAL QUESTION BAN Course Name : CONTROL SYSTEMS Course Code : A502 Class : III

More information

Dynamic circuits: Frequency domain analysis

Dynamic circuits: Frequency domain analysis Electronic Circuits 1 Dynamic circuits: Contents Free oscillation and natural frequency Transfer functions Frequency response Bode plots 1 System behaviour: overview 2 System behaviour : review solution

More information

Analysis and Design of Control Systems in the Time Domain

Analysis and Design of Control Systems in the Time Domain Chapter 6 Analysis and Design of Control Systems in the Time Domain 6. Concepts of feedback control Given a system, we can classify it as an open loop or a closed loop depends on the usage of the feedback.

More information