Department of Electrical Engineering,
School of Engineering,
University of Management and Technology
Course Outline
Course code……EE 360…
Program
Course title……Control Systems…
BSEE
3
Credit Hours
One semester
Duration
Prerequisites
Resource Person (s)
EE315:Signals and Systems
MA-230:Differential Equations
Jameel Ahmad, Muhammad Asim Butt, Muhammad Haris, Muhammad
Hassan Munir
Counseling Timing
Monday-Thursday
10am-12am, 2p-3pm
(Room# 3, 3S-33 )
Contacts
Jameel Ahmad Jameel.ahmad@umt.edu.pk (0333-558-3815)
Muhammad Asim Butt Asim.butt@umt.edu.pk
Muhammad Haris muhammad.haris@umt.edu.pk
Muhammad Hassan Munir hassan.munir@umt.edu.pk
Chairman/Director signature………………………………….
Dean’s signature……………………………
Date………………………………………….
Course Outline
Page 1
Learning Objectives:
The course deals with the analysis and design of linear control systems. This course is meant to
provide basic training and familiarity with feedback control systems. Feedback systems are
ubiquitous in daily life and appear in many other disciplines including communications, industrial
process control, aerospace systems, vehicle engine systems, environmental efficiency, and
elsewhere. Classical control methods of analysis and design are used for linear systems and
provide intuitive procedures for feedback control based on systems structure. State Variable
methods since 1960s have been responsible for the high performance and stability of modern
engineered systems including aerospace, robotic, and industry processes.
Specific Course objectives are as follows:
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To provide students with basic background in Linear Feedback Control Systems analysis and
design.
To lay the foundations of classical control design including root locus, Bode plots, stability
and system properties.
To understand tools for system analysis including differential equations, transfer functions,
and state variable methods.
To provide an introduction to basic analysis and design methods in state variable systems.
To train students in the use of MATLAB/SIMULINK for system design and simulation for
the workplace.
The lab sections will give students an understanding of implementing these concepts on
actual physical processes including DC motor Speed Control, Magnetic Levitation, Ball and
Beam system, Inverted Pendulum, Servo mechanisms.
Student Learning Outcomes:
1. Acquire the mathematical tools needed to analyze feedback control systems by classical
methods including root locus, Bode, and Routh Test.
2. Understand the basic concepts of state variable analysis
3. Ability to perform designs with various control tools using MATLAB computer
simulation toolboxes.
4. Ability to perform design of feedback control systems using classical methods.
5. Ability to perform feedback control system design using state variable form including
pole placement.
6. Understand the implementation of feedback control systems methods on actual industrial
processes.
7. Learn to work in teams and contribute as a member to a group project
Learning Methodology:
Lecture, interactive, participative, Computer Simulations
Grade Evaluation Criteria
Following is the criteria for the distribution of marks to evaluate final grade in a semester.
Course Outline
Page 2
Marks Evaluation
Marks in percentage
Quizzes
15
Assignments
10
Mid Term
25
Attendance & Class Participation
NA
Term Project
NA
Presentations
NA
Final exam
Total
50
100
Recommended Text Books:
1. Modern Control Engineering (5th Edition) by Katsuhiko Ogata (Sep 4, 2009)
Reference Books:
1. Control Systems Engineering by Norman S. Nise (Dec 14, 2010)
2. Modern Control Systems (12th Edition) by Richard C. Dorf and Robert H. Bishop (Jul 29, 2010)
3. State Variables for Engineers by Paul M. DeRusso, Rob J. Roy, Charles M. Close and Alan A.
Desrochers (Dec 1997)
4. Control System Design: An Introduction to State-Space ,Bernard Friedland (Mar 24, 2005)
5. Analog and Digital Control System Design: Transfer-Function, State-Space, and Algebraic
Methods by Chi-Tsong Chen (Jan 1, 1993)
Calendar of Course contents to be covered during semester
Course code………………EE360….... Course title……Control Systems………………
Lectures
Course Contents
Reference
Chapter(s)
Course Outline
Page 3
1-2
3-4
5-6
7-8
9-10
11-12
13-14
Control Systems: An introduction
Closed-loop vs. Open Loop Control
Laplace Transform Theorems
Partial Fraction Expansion
Solving Linear Time-invariant Differential Equations
Ch-1 and Ch2
Mathematical Modeling of Dynamic Systems
Transfer function and Impulse response function
Modeling of Mechanical Systems: Mass-Spring-Damper system
Modeling of Electrical Systems: RLC Circuits/DC motor/Op-Amp circuits
Cascade, Parallel and Feedback closed-loop systems, Signal Flow Graphs
Classification of Industrial Controllers (ON-OFF,P,PD,PI,PID)
Ch-3
Proportional, Integral and Derivative Control Actions
PID Control
Closed Loop System Subjected to Disturbance
Modeling Electrical/Mechanical Systems in State Space
State Space Representation of Dynamic Systems
Transformation from Transfer function to state-space and vice-versa
Ch-3
Transient and Steady State Response of Dynamic systems
Unit-step, unit-ramp and unit-impulse response of First Order and 2nd-order
systems
DC-Motor performance
Ch-5
Under-damped, over-damped and critically damped 2nd order systems
Transient response specifications
Servo Mechanisms: Armature-controlled DC Servo Motor
Stability analysis in the complex plane
Routh Stability Criterion
Ch-5
Integral and derivative control actions and system performance
Steady-state errors in unity-feedback control systems
Higher order systems and dominant closed-loop poles
Examples of Electro-mechanical Systems
Operational-Amplifier circuits used as Controllers/Compensators
Linearization of Non-linear Systems
Magnetic Levitation
Ball-and-Beam
Ch-5
Notes
Mid Term Examination
15-16
Ziegler–Nichols tuning rule for PID Control
17-18-19
20-21
Control system analysis using Root Locus Method
Plotting Root Locus
Control System design using Root-Locus approach
Lead Compensation using Root Locus
Lag Compensation using Root Locus
Course Outline
Ch-8/Ch-6
Ch-6
Page 4
22-23
Control System Design using Frequency Response Method
Bode Diagrams
Phase Margins and Gain Margins
Polar Plots, Nyquist Stability Criterion,
Lead Compensation using Frequency Response Method
Lag Compensation using Frequency Response Method
Ch-7
24-25
Design Examples on Lead/Lag compensators
Ch-6/Ch-7
28-29
Control Systems in State-Space
State space representation of Transfer functions
Controllable and Observable canonical forms
Ch-9
30-31
Solving the Time-invariant State-Equation; Laplace Transform approach
State Transition Matrix and its properties
Cayley–Hamilton Theorem (if time permits)
Controllability and Observability (if time permits)
Ch-9
Ch-7
26-27
32
Final Exam
Course Outline
Page 5