Muhammad Abid

Professor

 

EE–416: Linear Control Systems

Instructor

Muhammad Abid

Room # SE–302, Ext: 3440

mabid@pieas.edu.pk

http://www.pieas.edu.pk/abid/

 

 

Course

Course Code and Title: EE–435 Linear Control Systems

Level: Undergraduate

Pre–requisite: Basic knowledge of Laplace Transform, Linear Algebra and Differential Equations, (PAM-225, PAM-242)

Course Website: www.pieas.edu.pk/abid/index_files/LCS.htm

Course Material: Click here (Accessible in PIEAS, use internet explorer)

 

 

Course Objectives

1. Mathematical modeling of dynamic systems

2. Analyze the stability and performance of control systems

3. Design of classical compensators for control systems

 

 

Learning Outcomes

After studying this course, students will be able to describe the dynamic systems by mathematical models, analyze the stability and performance of the systems and design classical compensators to achieve the desired performance.

 

 

Recommended Text

1. Nise, N. N., Control Systems Engineering, 6th edition, 2010, Wiley.

2. Ogata, K., Modern Control Engineering, 5th edition, 2009, Prentice Hall.

3. Dorf., R. C., Modern Control Systems, 12th edition, 2010, Prentice Hall.

 

 

Computer Usage

Student will extensively use MATLAB, there will be lab sessions for the analysis and design of control problems.

 

 

Assignments

There will be regular assignments during the session. Each of these assignments will be due in the following lecture. Late submission and copied assignments will not be accepted.

 

 

Examination

There will be two sessional exams and one terminal exam; the dates will be announced by the course-coordinator/examination cell. There will be 4–5 quizzes during the lecture hours; most of these quizzes will not be announced in advance.

 

 

Grading

1st Sessional Exam

20%

2nd Sessional Exam

20%

Quizzes

05%

Assignments

05%

Terminal Exam

50%

 

 

Breakdown in Lectures (Tentative)

Topic

Number of lectures

Introduction to Control Systems

1

Modeling of electrical and electronic systems

1-2

Modeling of mechanical translational systems

2-3

Modeling of mechanical rotational systems

2-3

Modeling of fluid systems

1-2

Modeling of Thermal systems

1-2

Transfer functions, poles, zeors

1-2

Block diagram, representation and simplification

2-3

Signal flow graphs and Mason’s gain formula

3-4

Transient and steady state response analysis

3-4

Stability, Routh-Hurwitz criterion

1-2

Root locus analysis

3-4

Design via root locus

3-4

Frequency response analsis

4-5

Design via frequency responses

4-5

PID tuning rules

2-3