Übersetzungshilfe / Translation aid (English) To be returned at the end of the exam!

Size: px
Start display at page:

Download "Übersetzungshilfe / Translation aid (English) To be returned at the end of the exam!"

Transcription

1 Prüfung Regelungstechnik I (Control Systems I) Prof. Dr. Lino Guzzella Übersetzungshilfe / Translation aid (English) To be returned at the end of the exam! Do not mark up this translation aid - The German exam is the only valid version! All answers must be written on the regular exam sheets (which are in German).

2

3 Sessionsprüfung Regelungstechnik I Page Question (Modeling, Linarization) 8 Points g (Gravitation) x Water Droplet h Wind (System Input) Figure : Water Droplet Hovering in the Air In this exercise, a linearized model of the system presented in Figure has to be created. The System is a water droplet which is kept from falling by air streaming in vertically upwards direction. The droplet has a diameter of d = 2 [mm] and the water has a density of ρ W = [kg/m 3 ]. The droplet is accelerated by the gravitational force towards the ground with 9.8 [m/s 2 ]. Evaporation effects as well as movements of the droplet in horizontal direction can be neglected. The velocity of the air flow (wind) s(t) at ground level (at h = ) can be arbitrarily adjusted and is denoted with u(t) [m/s]. The magnitude of the flow velocity decreases as the height h [m] increases, the functional relationship is as follows: s(t) = u(t) α h [m/s], where α = [/s] is given as a constant parameter. The vertical position of the droplet is denoted by x. The variable h denotes the general coordinate in vertical direction. The force that pushes the water droplet upwards can be modeled as follows: F a = 2 ρ L c a A v 2 [N], where A [m 2 ] is the area of the droplet, c a =.445 [ ] is the drag coefficient, ρ L =.2 [kg/m 3 ] is the density of air, and v denotes the velocity with which the air flows towards the droplet. a) (3 points) Choose the state vector z(t) = [x(t), ẋ(t)] T and derive the nonlinear state space description of the form dz(t) dt = f(z(t), u(t)), w(t) = g(z(t), u(t)). Use the variable names z (t), z 2 (t), u(t), and w(t). b) (2 points) Calculate the flow velocity u e at ground level, which is necessary for the droplet to stay at the positon z,e = 3 [m] in a state of equilibrium.

4 Page 2 Sessionsprüfung Regelungstechnik I c) (3 points) Linearize the system equations around this equilibrium point (no normalization is required). Express the system equations in the standard form (state space description with the matrices {A, b, c, d}). Express the matrices in general form, i.e. use the variables of the system and do not use their corresponding numerical values.

5 Sessionsprüfung Regelungstechnik I Page 3 Question 2 (Frequency domain, time domain) 8 Points The open-loop transfer functions (loop gain) L (s), L 2 (s), L 3 (s), L 4 (s) of 4 control systems are given (see table for solution). Furthermore, the Nyquist plots (see below the diagrams A, B, C and D; plotted for positive frequencies only) of these transfer functions, and the resulting step responses (see on the next page the step responses to 4) of the corresponding closed loop systems are given. Assign the correct Nyquist plot and the correct step response to each of the open loop transfer functions. Use the table provided on the solution page of this question for your solution. You do not need to justify your answers..5 Nyquist Plot A.5 Nyquist Plot B Im Im Re Re.5 Nyquist Plot C.5 Nyquist Plot D Im Im Re Re

6 Page 4 Sessionsprüfung Regelungstechnik I 2 Step Response 2 Step Response 2 Amplitude [ ].5 Amplitude [ ] Time [s] Time [s] 2 Step Response 3 2 Step Response 4 Amplitude [ ].5 Amplitude [ ] Time [s] Time [s]

7 Sessionsprüfung Regelungstechnik I Page 5 Question 3 (Controller Synthesis) 8 Points The department of modeling at your company has created a very accurate model of a system to be controlled. The corresponding dynamics are given by the following transfer function: P (s) = (s + 2 ) (s + 3 ) Your job is to control this system. All tasks of this question can be solved independently of each other. a) (3 points) You have to design a PI-controller C P I (s) = k p ( + T i s ), with the following specifications on the contol system: The crossover frequency must be at ω c =.85 [rad/s]. The phase marigin must be 45. Calculate the values of the parameters {k p, T i } which lead to a control system that fulfills these specifications. b) (3 points) Your colleague suggests the following PD-controller as an alternative controller: ( 5 C P D (s) = 2 s + ) 3 Your boss says she wants the one controller which leads to a faster rise time t 9 in a step response analysis. Which controller do you suggest? c) (2 points) Another colleague suggests two different P-controllers C P (s) = k p with the following specifications Controller Crossover Frequency ω c Phase Margin C P, = k p,.85 [rad/s] 45 C P,2 = k p,2.5 [rad/s] 45 Your boss supports his intentions as she wants to keep the structures of the controllers as simple as possible. What do you think of your colleagues suggestions? Justify your answer.

8 Page 6 Sessionsprüfung Regelungstechnik I Question 4 (Laplace-Transformation) Points The following subtasks a), b) and c) can be solved independently. a) The two systems Σ and Σ 2 are connected in series. u(t) x(t) y(t) Σ Σ 2 Figure 2: System overview. The output x(t) of Σ is characterized by the following differential equation: ẍ(t) = 4 ẋ(t) 4 x(t) + u(t) with ẋ(t) = x(t) = u(t) =, t. The transfer function of Σ 2 (s) = Y (s) X(s) is given by: Σ 2 (s) = 3 s s + i) ( point) Determine the transfer function of the entire system Σ a (s) = Y (s) ii) iii) U(s). (2 points) The system Σ a (s) is subjected to a step excitation u(t) = h(t), calculate the time domain response y(t). (2 points) Illustrate the time response of ii) in the associated template on the solution page qualitatively. By doing that, also think about the following characteristics: What is the system s static gain? Does the system response overshoot? b) Consider the block diagram in figure 3. x x 2 x 3 y s u 5 s s 2 2 Figure 3: Block diagram. i) ( point) Determine the associated state space description A, B, C, D. ii) (2 points) Determine the transfer function Σ b = Y (s) U(s). c) The time response of another time-invariant SISO system is given as: y(t) = ( e (t T ) cos (ω(t T ))) h(t T ) with T = ms, ω = π 3 rad/s. i) (2 points) Calculate the transfer function of the system Σ c (s).

9 Sessionsprüfung Regelungstechnik I Page 7 Question 5 (Stabilization / Performance & Robustness) 9 Points You would like to develop a controller for a plant with the following state space representation of its model. [ d 3 dt x(t) = y(t) = [ 4 4 ] [ ] a + 3 x(t) + u(t), x() = (a) a ] x(t). (b) The parameter a specifies the actuator. The larger you choose a in the permissible interval 2 a 2 the more expensive is the actuator. Figure 4 shows the set-up of the control system. The control system is used in an environment where it is disturbed by a noise signal n(t) with a frequency of ω n 3 rad /s. r(t) C(s) u(t) P (s) y(t) n Figure 4: Control system with input and output signals. Remark: Solution of a) is required for the solutions of the subsequent questions b)-d). But the questions b)-e) can be partly solved indepedently from each other. a) (2 points) Determine the transfer function P (s) of the plant with the input signal u(t), output signal y(t) and state vector x(t) in function of the actuator parameter a. Determine also the pole(s) and zero(s) of the plant. b) (3 points) In which range the cross over frequency ω c should be selected such that an appropriate controller C(s) may be designed? Which cross over frequency do you choose if at the same time the actuator costs have to be minimized? Determine also the corresponding actuator parameter a that minimizes the actuator costs. Important remark: Based on a special offer you decide to purchase an actuator with a =. Use this value to solve the following questions c) to e). c) (2 points) You would like to stabilize the control system with a P-controller C(s) = k p. Justify why it is surely possible to stabilize the control system for negative values of k p in the range 2 < k p <.3. d) ( point) You use a P-controller according to point c) that stabilizes the control system. What is the amplification of a high frequent sensor noise (ω n ) at the output of the control system? e) ( point) Determine the steady state error of the control system for k p =.3.

10 Page 8 Sessionsprüfung Regelungstechnik I Question 6 (Bode-Diagram/Nyquist Criterion) Points The following subtasks a) and b) can be solved independently. a) The bode-diagram of a critically damped plant with the transfer function P (s) was measured. Figure 5: Bode-diagram of the plant with the corresponding transfer function P (s). i) (2 points) Determine the transfer function of the plant P (s) with the aid of the measured bode-diagram in figure 5. ii) ( point) The system outlined in figure 6 is controlled using a proportional controller with the transfer function C (s) = k p =. The control system is subjected to a disturbance (unit step) on input w. Will the output of the system return to the original value, without a steady state error? Assume that the system was at equilibrium with r = and y =, prior to the disturbance. r + - C (s) + + w P (s) y Figure 6: Control system for the plant P (s). iii) iv) ( point) Determine the phase margin in case the plant P (s) of exercise i) is controlled by the controller C (s) = k p = according to the structure presented in figure 6 (w = ). ( point) Which structural changes would you consider to apply to C (s) firstly, in order to eliminate the steady state error?

11 Sessionsprüfung Regelungstechnik I Page 9 b) Another control system consists of the plant P 2 (s) and the controller C 2 (s). The transfer function P 2 (s) is known and the Nyquist-diagram of P 2 (s) is given in figure 8. P 2 (s) = s (s + ) 3 (2) Figure 8: Nyquist-diagram of the plant P 2 (s) Figure 7: Block-diagram of the control system. r + - C 2 (s) P 2 (s) y i) (2 points) The Bode-diagram of the controller C 2 (s) is given. Illustrate the according Nyquist-diagram as accurately as possible in the associated template on the solution page. It is not demanded to derive the exact transfer function. Figure 9: Bode-diagram of the controller C 2 (s). ii) (3 points) Assume now that a simple P-controller C 2 (s) = k p is used. Make use of the Nyquist-criterion in order to calculate the range of k p that leads to an asymptotically stable system.

12 Page Sessionsprüfung Regelungstechnik I Question 7 (System Analysis) 7 Points Consider the model of a geosynchronous satellite as shown in Figure. The gravitational force of the earth is approximately equal to F g = MG r 2 m, where M > is the mass of the earth and G > is its gravitational constant. The mass of the satellite is described by m >. The distance from the satellite to the earth s center of mass is expressed with the radius r >. The centrifugal force counteracts to the gravitational force and is given by (3) F z = m r ω 2, (4) where ω is the rotational velocity of the satellite around the earth. F t ω m F z F g r M Figure : Geosynchronous satellite Assume a thruster with the force F t R is mounted tangential onto the satellite. As a result, the equations of motion for the geosynchronous satellite yield r = r ω 2 MG r 2, ω = F t r m. The linearization about the equilibria, r >, ω >, F t, =, leads to the system of linear equations, i.e. ω MG 2 r r x 3 ω ṙ = x + F t with x = r. (7) r m ω (5) (6)

13 Sessionsprüfung Regelungstechnik I Page a) ( point) State the system matrices {A, b, c, d} for the system of linear equations (7) with the assumption that the radius r and the rotational velocity ω are measured. b) (2 points) In the sense of Lyapunov, is the given system stable, asymptotically stable or unstable? Justify your answer mathematically. c) Given the tangential thruster, is the system controllable? i) (2 points) Make a point about the controllability of the system and justify your answer mathematically. ii) iii) ( point) Assume that the satellite has slightly approached the earth. Is the tangential thruster able to bring the satellite back onto its original orbit? ( point) If yes, does the thruster have to accelerate or decelerate the satellite? If no, why is the thruster not able to do so? d) ( point) How would the system matrices look like, if the tangential thruster was replaced by a radial thruster F r R that acts in the same direction than the centrifugal force? e) (2 points) Which statements hold about the Lyapunov stability, the observability, and the controllability of the new system?

14 Page 2 Sessionsprüfung Regelungstechnik I Question 8 (Multiple-Choice) 8 Points Decide whether the following statements are true or false and check the corresponding check box with an X ( ) on the solution page of this question. You are not required to justify your answers. All questions are equally weighted ( Point). There will be a reduction of one point for a wrong answer. Unanswered questions will get points. The minimum sum for all questions is points. a) The differential equation δẋ = δx + 4 δu is the linearization of the non-linear system ẋ = 4 x + + 3x + u 2 around the equilibrium point {x e =, u e = 2}. b) A constant signal u(t) = at the input of a system with the transfer function Σ(s) = produces for t a constant output signal of 2. s s 2 +6s+5 c) An unstable system with the transfer function s (s 2) C(s) = k p (k p R). can be stabilized by a P-controller d) The state space representation {A, b, c, d} of a second order system has the transfer function P (s) = s+3. The system is completely controllable and observable. s 2 +s 6 e) The following state space model {A, b, c, d} represents a realization for a system with the transfer function Σ(s) = s s 3 : [ ] [ ] 2 A =, b =, 3 2 c = [ ], D = [ ] f) The Matlab instruction P = zpk(,[-i +i 3],-2) defines in Matlab a system with the transfer function P (s) = 2s (s 3)(s 2 2s+2). g) The system with the transfer function Σ(s) = s+7 + s 4 has no system zeros. h) The transfer function of a closed loop system from the reference signal to the output y is T (s) = s+ (complementary sensitivity). The loop gain of the control system is s 2 +4s+ L(s) = s+ s(s+3). Be aware of this fact!

Übersetzungshilfe / Translation aid (English) To be returned at the end of the exam!

Übersetzungshilfe / Translation aid (English) To be returned at the end of the exam! Prüfung Regelungstechnik I (Control Systems I) Prof. Dr. Lino Guzzella 3.. 24 Übersetzungshilfe / Translation aid (English) To be returned at the end of the exam! Do not mark up this translation aid -

More information

Prüfung Regelungstechnik I (Control Systems I) Übersetzungshilfe / Translation aid (English) To be returned at the end of the exam!

Prüfung Regelungstechnik I (Control Systems I) Übersetzungshilfe / Translation aid (English) To be returned at the end of the exam! Prüfung Regelungstechnik I (Control Systems I) Prof. Dr. Lino Guzzella 29. 8. 2 Übersetzungshilfe / Translation aid (English) To be returned at the end of the exam! Do not mark up this translation aid

More information

Übersetzungshilfe / Translation aid (English) To be returned at the end of the exam!

Übersetzungshilfe / Translation aid (English) To be returned at the end of the exam! Prüfung Regelungstechnik I (Control Systems I) Prof. Dr. Lino Guzzella 5. 2. 2 Übersetzungshilfe / Translation aid (English) To be returned at the end of the exam! Do not mark up this translation aid -

More information

Übersetzungshilfe / Translation aid (English) To be returned at the end of the exam!

Übersetzungshilfe / Translation aid (English) To be returned at the end of the exam! Prüfung Regelungstechnik I (Control Systems I) Prof. Dr. Lino Guzzella 9. 8. 2 Übersetzungshilfe / Translation aid (English) To be returned at the end of the exam! Do not mark up this translation aid -

More information

Exam. 135 minutes + 15 minutes reading time

Exam. 135 minutes + 15 minutes reading time Exam January 23, 27 Control Systems I (5-59-L) Prof. Emilio Frazzoli Exam Exam Duration: 35 minutes + 5 minutes reading time Number of Problems: 45 Number of Points: 53 Permitted aids: Important: 4 pages

More information

Exam. 135 minutes, 15 minutes reading time

Exam. 135 minutes, 15 minutes reading time Exam August 15, 2017 Control Systems I (151-0591-00L) Prof Emilio Frazzoli Exam Exam Duration: 135 minutes, 15 minutes reading time Number of Problems: 44 Number of Points: 52 Permitted aids: Important:

More information

Classify a transfer function to see which order or ramp it can follow and with which expected error.

Classify a transfer function to see which order or ramp it can follow and with which expected error. Dr. J. Tani, Prof. Dr. E. Frazzoli 5-059-00 Control Systems I (Autumn 208) Exercise Set 0 Topic: Specifications for Feedback Systems Discussion: 30.. 208 Learning objectives: The student can grizzi@ethz.ch,

More information

Controls Problems for Qualifying Exam - Spring 2014

Controls Problems for Qualifying Exam - Spring 2014 Controls Problems for Qualifying Exam - Spring 2014 Problem 1 Consider the system block diagram given in Figure 1. Find the overall transfer function T(s) = C(s)/R(s). Note that this transfer function

More information

Modeling and Analysis of Dynamic Systems

Modeling and Analysis of Dynamic Systems Modeling and Analysis of Dynamic Systems Dr. Guillaume Ducard Fall 2017 Institute for Dynamic Systems and Control ETH Zurich, Switzerland G. Ducard c 1 / 54 Outline 1 G. Ducard c 2 / 54 Outline 1 G. Ducard

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

Exam. 135 minutes, 15 minutes reading time

Exam. 135 minutes, 15 minutes reading time Exam August 6, 208 Control Systems II (5-0590-00) Dr. Jacopo Tani Exam Exam Duration: 35 minutes, 5 minutes reading time Number of Problems: 35 Number of Points: 47 Permitted aids: 0 pages (5 sheets) A4.

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

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

Represent this system in terms of a block diagram consisting only of. g From Newton s law: 2 : θ sin θ 9 θ ` T

Represent this system in terms of a block diagram consisting only of. g From Newton s law: 2 : θ sin θ 9 θ ` T Exercise (Block diagram decomposition). Consider a system P that maps each input to the solutions of 9 4 ` 3 9 Represent this system in terms of a block diagram consisting only of integrator systems, represented

More information

State Regulator. Advanced Control. design of controllers using pole placement and LQ design rules

State Regulator. Advanced Control. design of controllers using pole placement and LQ design rules Advanced Control State Regulator Scope design of controllers using pole placement and LQ design rules Keywords pole placement, optimal control, LQ regulator, weighting matrixes Prerequisites Contact state

More information

Automatic Control A. A.A. 2016/2017 July 7, Corso di Laurea Magistrale in Ingegneria Meccanica. Prof. Luca Bascetta.

Automatic Control A. A.A. 2016/2017 July 7, Corso di Laurea Magistrale in Ingegneria Meccanica. Prof. Luca Bascetta. Corso di Laurea Magistrale in Ingegneria Meccanica Automatic Control A Prof. Luca Bascetta A.A. 2016/2017 July 7, 2017 Name: Surname: University ID number: Signature: This file consists of 8 pages (including

More information

Analysis and Synthesis of Single-Input Single-Output Control Systems

Analysis and Synthesis of Single-Input Single-Output Control Systems Lino Guzzella Analysis and Synthesis of Single-Input Single-Output Control Systems l+kja» \Uja>)W2(ja»\ um Contents 1 Definitions and Problem Formulations 1 1.1 Introduction 1 1.2 Definitions 1 1.2.1 Systems

More information

Richiami di Controlli Automatici

Richiami di Controlli Automatici Richiami di Controlli Automatici Gianmaria De Tommasi 1 1 Università degli Studi di Napoli Federico II detommas@unina.it Ottobre 2012 Corsi AnsaldoBreda G. De Tommasi (UNINA) Richiami di Controlli Automatici

More information

Control Systems I Lecture 10: System Specifications

Control Systems I Lecture 10: System Specifications Control Systems I Lecture 10: System Specifications Readings: Guzzella, Chapter 10 Emilio Frazzoli Institute for Dynamic Systems and Control D-MAVT ETH Zürich November 24, 2017 E. Frazzoli (ETH) Lecture

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

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

Automatic Control 2. Loop shaping. Prof. Alberto Bemporad. University of Trento. Academic year

Automatic Control 2. Loop shaping. Prof. Alberto Bemporad. University of Trento. Academic year Automatic Control 2 Loop shaping Prof. Alberto Bemporad University of Trento Academic year 21-211 Prof. Alberto Bemporad (University of Trento) Automatic Control 2 Academic year 21-211 1 / 39 Feedback

More information

Exam in Systems Engineering/Process Control

Exam in Systems Engineering/Process Control Department of AUTOMATIC CONTROL Exam in Systems Engineering/Process Control 7-6- Points and grading All answers must include a clear motivation. Answers may be given in English or Swedish. The total number

More information

Control Systems I. Lecture 2: Modeling. Suggested Readings: Åström & Murray Ch. 2-3, Guzzella Ch Emilio Frazzoli

Control Systems I. Lecture 2: Modeling. Suggested Readings: Åström & Murray Ch. 2-3, Guzzella Ch Emilio Frazzoli Control Systems I Lecture 2: Modeling Suggested Readings: Åström & Murray Ch. 2-3, Guzzella Ch. 2-3 Emilio Frazzoli Institute for Dynamic Systems and Control D-MAVT ETH Zürich September 29, 2017 E. Frazzoli

More information

Lecture 5: Linear Systems. Transfer functions. Frequency Domain Analysis. Basic Control Design.

Lecture 5: Linear Systems. Transfer functions. Frequency Domain Analysis. Basic Control Design. ISS0031 Modeling and Identification Lecture 5: Linear Systems. Transfer functions. Frequency Domain Analysis. Basic Control Design. Aleksei Tepljakov, Ph.D. September 30, 2015 Linear Dynamic Systems Definition

More information

Time Response Analysis (Part II)

Time Response Analysis (Part II) Time Response Analysis (Part II). A critically damped, continuous-time, second order system, when sampled, will have (in Z domain) (a) A simple pole (b) Double pole on real axis (c) Double pole on imaginary

More information

Design and Tuning of Fractional-order PID Controllers for Time-delayed Processes

Design and Tuning of Fractional-order PID Controllers for Time-delayed Processes Design and Tuning of Fractional-order PID Controllers for Time-delayed Processes Emmanuel Edet Technology and Innovation Centre University of Strathclyde 99 George Street Glasgow, United Kingdom emmanuel.edet@strath.ac.uk

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

ECE 486 Control Systems

ECE 486 Control Systems ECE 486 Control Systems Spring 208 Midterm #2 Information Issued: April 5, 208 Updated: April 8, 208 ˆ This document is an info sheet about the second exam of ECE 486, Spring 208. ˆ Please read the following

More information

Design Methods for Control Systems

Design Methods for Control Systems Design Methods for Control Systems Maarten Steinbuch TU/e Gjerrit Meinsma UT Dutch Institute of Systems and Control Winter term 2002-2003 Schedule November 25 MSt December 2 MSt Homework # 1 December 9

More information

Lecture 1: Feedback Control Loop

Lecture 1: Feedback Control Loop Lecture : Feedback Control Loop Loop Transfer function The standard feedback control system structure is depicted in Figure. This represend(t) n(t) r(t) e(t) u(t) v(t) η(t) y(t) F (s) C(s) P (s) Figure

More information

ME 132, Fall 2017, UC Berkeley, A. Packard 334 # 6 # 7 # 13 # 15 # 14

ME 132, Fall 2017, UC Berkeley, A. Packard 334 # 6 # 7 # 13 # 15 # 14 ME 132, Fall 2017, UC Berkeley, A. Packard 334 30.3 Fall 2017 Final # 1 # 2 # 3 # 4 # 5 # 6 # 7 # 8 NAME 20 15 20 15 15 18 15 20 # 9 # 10 # 11 # 12 # 13 # 14 # 15 # 16 18 12 12 15 12 20 18 15 Facts: 1.

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

Control Systems II. ETH, MAVT, IDSC, Lecture 4 17/03/2017. G. Ducard

Control Systems II. ETH, MAVT, IDSC, Lecture 4 17/03/2017. G. Ducard Control Systems II ETH, MAVT, IDSC, Lecture 4 17/03/2017 Lecture plan: Control Systems II, IDSC, 2017 SISO Control Design 24.02 Lecture 1 Recalls, Introductory case study 03.03 Lecture 2 Cascaded Control

More information

IC6501 CONTROL SYSTEMS

IC6501 CONTROL SYSTEMS DHANALAKSHMI COLLEGE OF ENGINEERING CHENNAI DEPARTMENT OF ELECTRICAL AND ELECTRONICS ENGINEERING YEAR/SEMESTER: II/IV IC6501 CONTROL SYSTEMS UNIT I SYSTEMS AND THEIR REPRESENTATION 1. What is the mathematical

More information

Control Systems I. Lecture 2: Modeling and Linearization. Suggested Readings: Åström & Murray Ch Jacopo Tani

Control Systems I. Lecture 2: Modeling and Linearization. Suggested Readings: Åström & Murray Ch Jacopo Tani Control Systems I Lecture 2: Modeling and Linearization Suggested Readings: Åström & Murray Ch. 2-3 Jacopo Tani Institute for Dynamic Systems and Control D-MAVT ETH Zürich September 28, 2018 J. Tani, E.

More information

Exercises Automatic Control III 2015

Exercises Automatic Control III 2015 Exercises Automatic Control III 205 Foreword This exercise manual is designed for the course "Automatic Control III", given by the Division of Systems and Control. The numbering of the chapters follows

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

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

Introduction to Process Control

Introduction to Process Control Introduction to Process Control For more visit :- www.mpgirnari.in By: M. P. Girnari (SSEC, Bhavnagar) For more visit:- www.mpgirnari.in 1 Contents: Introduction Process control Dynamics Stability The

More information

LABORATORY INSTRUCTION MANUAL CONTROL SYSTEM I LAB EE 593

LABORATORY INSTRUCTION MANUAL CONTROL SYSTEM I LAB EE 593 LABORATORY INSTRUCTION MANUAL CONTROL SYSTEM I LAB EE 593 ELECTRICAL ENGINEERING DEPARTMENT JIS COLLEGE OF ENGINEERING (AN AUTONOMOUS INSTITUTE) KALYANI, NADIA CONTROL SYSTEM I LAB. MANUAL EE 593 EXPERIMENT

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

Problem 1: Ship Path-Following Control System (35%)

Problem 1: Ship Path-Following Control System (35%) Problem 1: Ship Path-Following Control System (35%) Consider the kinematic equations: Figure 1: NTNU s research vessel, R/V Gunnerus, and Nomoto model: T ṙ + r = Kδ (1) with T = 22.0 s and K = 0.1 s 1.

More information

GEORGIA INSTITUTE OF TECHNOLOGY SCHOOL of ELECTRICAL & COMPUTER ENGINEERING FINAL EXAM. COURSE: ECE 3084A (Prof. Michaels)

GEORGIA INSTITUTE OF TECHNOLOGY SCHOOL of ELECTRICAL & COMPUTER ENGINEERING FINAL EXAM. COURSE: ECE 3084A (Prof. Michaels) GEORGIA INSTITUTE OF TECHNOLOGY SCHOOL of ELECTRICAL & COMPUTER ENGINEERING FINAL EXAM DATE: 09-Dec-13 COURSE: ECE 3084A (Prof. Michaels) NAME: STUDENT #: LAST, FIRST Write your name on the front page

More information

Raktim Bhattacharya. . AERO 632: Design of Advance Flight Control System. Preliminaries

Raktim Bhattacharya. . AERO 632: Design of Advance Flight Control System. Preliminaries . AERO 632: of Advance Flight Control System. Preliminaries Raktim Bhattacharya Laboratory For Uncertainty Quantification Aerospace Engineering, Texas A&M University. Preliminaries Signals & Systems Laplace

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

ECE 388 Automatic Control

ECE 388 Automatic Control Lead Compensator and PID Control Associate Prof. Dr. of Mechatronics Engineeering Çankaya University Compulsory Course in Electronic and Communication Engineering Credits (2/2/3) Course Webpage: http://ece388.cankaya.edu.tr

More information

Lecture 6 Classical Control Overview IV. Dr. Radhakant Padhi Asst. Professor Dept. of Aerospace Engineering Indian Institute of Science - Bangalore

Lecture 6 Classical Control Overview IV. Dr. Radhakant Padhi Asst. Professor Dept. of Aerospace Engineering Indian Institute of Science - Bangalore Lecture 6 Classical Control Overview IV Dr. Radhakant Padhi Asst. Professor Dept. of Aerospace Engineering Indian Institute of Science - Bangalore Lead Lag Compensator Design Dr. Radhakant Padhi Asst.

More information

EECS C128/ ME C134 Final Wed. Dec. 15, am. Closed book. Two pages of formula sheets. No calculators.

EECS C128/ ME C134 Final Wed. Dec. 15, am. Closed book. Two pages of formula sheets. No calculators. Name: SID: EECS C28/ ME C34 Final Wed. Dec. 5, 2 8- am Closed book. Two pages of formula sheets. No calculators. There are 8 problems worth points total. Problem Points Score 2 2 6 3 4 4 5 6 6 7 8 2 Total

More information

x(t) = x(t h), x(t) 2 R ), where is the time delay, the transfer function for such a e s Figure 1: Simple Time Delay Block Diagram e i! =1 \e i!t =!

x(t) = x(t h), x(t) 2 R ), where is the time delay, the transfer function for such a e s Figure 1: Simple Time Delay Block Diagram e i! =1 \e i!t =! 1 Time-Delay Systems 1.1 Introduction Recitation Notes: Time Delays and Nyquist Plots Review In control systems a challenging area is operating in the presence of delays. Delays can be attributed to acquiring

More information

Frequency domain analysis

Frequency domain analysis Automatic Control 2 Frequency domain analysis Prof. Alberto Bemporad University of Trento Academic year 2010-2011 Prof. Alberto Bemporad (University of Trento) Automatic Control 2 Academic year 2010-2011

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

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

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

ME 132, Fall 2017, UC Berkeley, A. Packard 317. G 1 (s) = 3 s + 6, G 2(s) = s + 2

ME 132, Fall 2017, UC Berkeley, A. Packard 317. G 1 (s) = 3 s + 6, G 2(s) = s + 2 ME 132, Fall 2017, UC Berkeley, A. Packard 317 Be sure to check that all of your matrix manipulations have the correct dimensions, and that the concatenations have compatible dimensions (horizontal concatenations

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

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

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

CONTROL SYSTEMS ENGINEERING Sixth Edition International Student Version

CONTROL SYSTEMS ENGINEERING Sixth Edition International Student Version CONTROL SYSTEMS ENGINEERING Sixth Edition International Student Version Norman S. Nise California State Polytechnic University, Pomona John Wiley fir Sons, Inc. Contents PREFACE, vii 1. INTRODUCTION, 1

More information

Active Control? Contact : Website : Teaching

Active Control? Contact : Website :   Teaching Active Control? Contact : bmokrani@ulb.ac.be Website : http://scmero.ulb.ac.be Teaching Active Control? Disturbances System Measurement Control Controler. Regulator.,,, Aims of an Active Control Disturbances

More information

GEORGIA INSTITUTE OF TECHNOLOGY SCHOOL of ELECTRICAL & COMPUTER ENGINEERING FINAL EXAM. COURSE: ECE 3084A (Prof. Michaels)

GEORGIA INSTITUTE OF TECHNOLOGY SCHOOL of ELECTRICAL & COMPUTER ENGINEERING FINAL EXAM. COURSE: ECE 3084A (Prof. Michaels) GEORGIA INSTITUTE OF TECHNOLOGY SCHOOL of ELECTRICAL & COMPUTER ENGINEERING FINAL EXAM DATE: 30-Apr-14 COURSE: ECE 3084A (Prof. Michaels) NAME: STUDENT #: LAST, FIRST Write your name on the front page

More information

Lecture 5 Classical Control Overview III. Dr. Radhakant Padhi Asst. Professor Dept. of Aerospace Engineering Indian Institute of Science - Bangalore

Lecture 5 Classical Control Overview III. Dr. Radhakant Padhi Asst. Professor Dept. of Aerospace Engineering Indian Institute of Science - Bangalore Lecture 5 Classical Control Overview III Dr. Radhakant Padhi Asst. Professor Dept. of Aerospace Engineering Indian Institute of Science - Bangalore A Fundamental Problem in Control Systems Poles of open

More information

Modeling and Analysis of Dynamic Systems

Modeling and Analysis of Dynamic Systems Modeling and Analysis of Dynamic Systems by Dr. Guillaume Ducard Fall 2016 Institute for Dynamic Systems and Control ETH Zurich, Switzerland based on script from: Prof. Dr. Lino Guzzella 1/33 Outline 1

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

Linear Control Systems Lecture #3 - Frequency Domain Analysis. Guillaume Drion Academic year

Linear Control Systems Lecture #3 - Frequency Domain Analysis. Guillaume Drion Academic year Linear Control Systems Lecture #3 - Frequency Domain Analysis Guillaume Drion Academic year 2018-2019 1 Goal and Outline Goal: To be able to analyze the stability and robustness of a closed-loop system

More information

Exam - TTK 4190 Guidance & Control Eksamen - TTK 4190 Fartøysstyring

Exam - TTK 4190 Guidance & Control Eksamen - TTK 4190 Fartøysstyring Page 1 of 6 Norges teknisk- naturvitenskapelige universitet Institutt for teknisk kybernetikk Faglig kontakt / contact person: Navn: Morten Pedersen, Universitetslektor Tlf.: 41602135 Exam - TTK 4190 Guidance

More information

Linear State Feedback Controller Design

Linear State Feedback Controller Design Assignment For EE5101 - Linear Systems Sem I AY2010/2011 Linear State Feedback Controller Design Phang Swee King A0033585A Email: king@nus.edu.sg NGS/ECE Dept. Faculty of Engineering National University

More information

Automatic Control II Computer exercise 3. LQG Design

Automatic Control II Computer exercise 3. LQG Design Uppsala University Information Technology Systems and Control HN,FS,KN 2000-10 Last revised by HR August 16, 2017 Automatic Control II Computer exercise 3 LQG Design Preparations: Read Chapters 5 and 9

More information

Exam in Systems Engineering/Process Control

Exam in Systems Engineering/Process Control Department of AUTOMATIC CONTROL Exam in Systems Engineering/Process Control 27-6-2 Points and grading All answers must include a clear motivation. Answers may be given in English or Swedish. The total

More information

The loop shaping paradigm. Lecture 7. Loop analysis of feedback systems (2) Essential specifications (2)

The loop shaping paradigm. Lecture 7. Loop analysis of feedback systems (2) Essential specifications (2) Lecture 7. Loop analysis of feedback systems (2). Loop shaping 2. Performance limitations The loop shaping paradigm. Estimate performance and robustness of the feedback system from the loop transfer L(jω)

More information

Control Systems I. Lecture 7: Feedback and the Root Locus method. Readings: Jacopo Tani. Institute for Dynamic Systems and Control D-MAVT ETH Zürich

Control Systems I. Lecture 7: Feedback and the Root Locus method. Readings: Jacopo Tani. Institute for Dynamic Systems and Control D-MAVT ETH Zürich Control Systems I Lecture 7: Feedback and the Root Locus method Readings: Jacopo Tani Institute for Dynamic Systems and Control D-MAVT ETH Zürich November 2, 2018 J. Tani, E. Frazzoli (ETH) Lecture 7:

More information

First-Order Low-Pass Filter

First-Order Low-Pass Filter Filters, Cost Functions, and Controller Structures Robert Stengel Optimal Control and Estimation MAE 546 Princeton University, 218! Dynamic systems as low-pass filters! Frequency response of dynamic systems!

More information

Table of Laplacetransform

Table of Laplacetransform Appendix Table of Laplacetransform pairs 1(t) f(s) oct), unit impulse at t = 0 a, a constant or step of magnitude a at t = 0 a s t, a ramp function e- at, an exponential function s + a sin wt, a sine fun

More information

(Continued on next page)

(Continued on next page) (Continued on next page) 18.2 Roots of Stability Nyquist Criterion 87 e(s) 1 S(s) = =, r(s) 1 + P (s)c(s) where P (s) represents the plant transfer function, and C(s) the compensator. The closedloop characteristic

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

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

D(s) G(s) A control system design definition

D(s) G(s) A control system design definition R E Compensation D(s) U Plant G(s) Y Figure 7. A control system design definition x x x 2 x 2 U 2 s s 7 2 Y Figure 7.2 A block diagram representing Eq. (7.) in control form z U 2 s z Y 4 z 2 s z 2 3 Figure

More information

MTNS 06, Kyoto (July, 2006) Shinji Hara The University of Tokyo, Japan

MTNS 06, Kyoto (July, 2006) Shinji Hara The University of Tokyo, Japan MTNS 06, Kyoto (July, 2006) Shinji Hara The University of Tokyo, Japan Outline Motivation & Background: H2 Tracking Performance Limits: new paradigm Explicit analytical solutions with examples H2 Regulation

More information

EECS C128/ ME C134 Final Wed. Dec. 14, am. Closed book. One page, 2 sides of formula sheets. No calculators.

EECS C128/ ME C134 Final Wed. Dec. 14, am. Closed book. One page, 2 sides of formula sheets. No calculators. Name: SID: EECS C128/ ME C134 Final Wed. Dec. 14, 211 81-11 am Closed book. One page, 2 sides of formula sheets. No calculators. There are 8 problems worth 1 points total. Problem Points Score 1 16 2 12

More information

ME 132, Fall 2015, Quiz # 2

ME 132, Fall 2015, Quiz # 2 ME 132, Fall 2015, Quiz # 2 # 1 # 2 # 3 # 4 # 5 # 6 Total NAME 14 10 8 6 14 8 60 Rules: 1. 2 sheets of notes allowed, 8.5 11 inches. Both sides can be used. 2. Calculator is allowed. Keep it in plain view

More information

MAE 143B - Homework 8 Solutions

MAE 143B - Homework 8 Solutions MAE 43B - Homework 8 Solutions P6.4 b) With this system, the root locus simply starts at the pole and ends at the zero. Sketches by hand and matlab are in Figure. In matlab, use zpk to build the system

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

General procedure for formulation of robot dynamics STEP 1 STEP 3. Module 9 : Robot Dynamics & controls

General procedure for formulation of robot dynamics STEP 1 STEP 3. Module 9 : Robot Dynamics & controls Module 9 : Robot Dynamics & controls Lecture 32 : General procedure for dynamics equation forming and introduction to control Objectives In this course you will learn the following Lagrangian Formulation

More information

Implementation of a Communication Satellite Orbit Controller Design Using State Space Techniques

Implementation of a Communication Satellite Orbit Controller Design Using State Space Techniques ASEAN J Sci Technol Dev, 29(), 29 49 Implementation of a Communication Satellite Orbit Controller Design Using State Space Techniques M T Hla *, Y M Lae 2, S L Kyaw 3 and M N Zaw 4 Department of Electronic

More information

Final Examination Thursday May Please initial the statement below to show that you have read it

Final Examination Thursday May Please initial the statement below to show that you have read it EN40: Dynamics and Vibrations Final Examination Thursday May 0 010 Division of Engineering rown University NME: General Instructions No collaboration of any kind is permitted on this examination. You may

More information

Pole placement control: state space and polynomial approaches Lecture 2

Pole placement control: state space and polynomial approaches Lecture 2 : state space and polynomial approaches Lecture 2 : a state O. Sename 1 1 Gipsa-lab, CNRS-INPG, FRANCE Olivier.Sename@gipsa-lab.fr www.gipsa-lab.fr/ o.sename -based November 21, 2017 Outline : a state

More information

Linear System Theory. Wonhee Kim Lecture 1. March 7, 2018

Linear System Theory. Wonhee Kim Lecture 1. March 7, 2018 Linear System Theory Wonhee Kim Lecture 1 March 7, 2018 1 / 22 Overview Course Information Prerequisites Course Outline What is Control Engineering? Examples of Control Systems Structure of Control Systems

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

DESIGN USING TRANSFORMATION TECHNIQUE CLASSICAL METHOD

DESIGN USING TRANSFORMATION TECHNIQUE CLASSICAL METHOD 206 Spring Semester ELEC733 Digital Control System LECTURE 7: DESIGN USING TRANSFORMATION TECHNIQUE CLASSICAL METHOD For a unit ramp input Tz Ez ( ) 2 ( z ) D( z) G( z) Tz e( ) lim( z) z 2 ( z ) D( z)

More information

Autonomous Mobile Robot Design

Autonomous Mobile Robot Design Autonomous Mobile Robot Design Topic: Guidance and Control Introduction and PID Loops Dr. Kostas Alexis (CSE) Autonomous Robot Challenges How do I control where to go? Autonomous Mobile Robot Design Topic:

More information

CHAPTER 7 FRACTIONAL ORDER SYSTEMS WITH FRACTIONAL ORDER CONTROLLERS

CHAPTER 7 FRACTIONAL ORDER SYSTEMS WITH FRACTIONAL ORDER CONTROLLERS 9 CHAPTER 7 FRACTIONAL ORDER SYSTEMS WITH FRACTIONAL ORDER CONTROLLERS 7. FRACTIONAL ORDER SYSTEMS Fractional derivatives provide an excellent instrument for the description of memory and hereditary properties

More information

1 Controller Optimization according to the Modulus Optimum

1 Controller Optimization according to the Modulus Optimum Controller Optimization according to the Modulus Optimum w G K (s) F 0 (s) x The goal of applying a control loop usually is to get the control value x equal to the reference value w. x(t) w(t) X(s) W (s)

More information

EECS C128/ ME C134 Final Thu. May 14, pm. Closed book. One page, 2 sides of formula sheets. No calculators.

EECS C128/ ME C134 Final Thu. May 14, pm. Closed book. One page, 2 sides of formula sheets. No calculators. Name: SID: EECS C28/ ME C34 Final Thu. May 4, 25 5-8 pm Closed book. One page, 2 sides of formula sheets. No calculators. There are 8 problems worth points total. Problem Points Score 4 2 4 3 6 4 8 5 3

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

ẋ n = f n (x 1,...,x n,u 1,...,u m ) (5) y 1 = g 1 (x 1,...,x n,u 1,...,u m ) (6) y p = g p (x 1,...,x n,u 1,...,u m ) (7)

ẋ n = f n (x 1,...,x n,u 1,...,u m ) (5) y 1 = g 1 (x 1,...,x n,u 1,...,u m ) (6) y p = g p (x 1,...,x n,u 1,...,u m ) (7) EEE582 Topical Outline A.A. Rodriguez Fall 2007 GWC 352, 965-3712 The following represents a detailed topical outline of the course. It attempts to highlight most of the key concepts to be covered and

More information

Control Systems Design

Control Systems Design ELEC4410 Control Systems Design Lecture 18: State Feedback Tracking and State Estimation Julio H. Braslavsky julio@ee.newcastle.edu.au School of Electrical Engineering and Computer Science Lecture 18:

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

CDS 101/110a: Lecture 10-1 Robust Performance

CDS 101/110a: Lecture 10-1 Robust Performance CDS 11/11a: Lecture 1-1 Robust Performance Richard M. Murray 1 December 28 Goals: Describe how to represent uncertainty in process dynamics Describe how to analyze a system in the presence of uncertainty

More information

Raktim Bhattacharya. . AERO 422: Active Controls for Aerospace Vehicles. Frequency Response-Design Method

Raktim Bhattacharya. . AERO 422: Active Controls for Aerospace Vehicles. Frequency Response-Design Method .. AERO 422: Active Controls for Aerospace Vehicles Frequency Response- Method Raktim Bhattacharya Laboratory For Uncertainty Quantification Aerospace Engineering, Texas A&M University. ... Response to

More information

1 An Overview and Brief History of Feedback Control 1. 2 Dynamic Models 23. Contents. Preface. xiii

1 An Overview and Brief History of Feedback Control 1. 2 Dynamic Models 23. Contents. Preface. xiii Contents 1 An Overview and Brief History of Feedback Control 1 A Perspective on Feedback Control 1 Chapter Overview 2 1.1 A Simple Feedback System 3 1.2 A First Analysis of Feedback 6 1.3 Feedback System

More information