Control System Design – Fall-2020

A Joint Class for EENG 4310-001, EENG 5310-001 and EENG 5310-605

Instructor: Parthasarathy (Partha) Guturu

Faculty Office: DP B-235

Phone: 940-891-6877

Email: Parthasarathy.Guturu@unt.edu or pg0028@unt.edu

Teaching Assistant: Yao, Lisha (LiShaYao@my.unt.edu)

Class Hours: T/Th. 1:00 PM-2:20 PM

Class Room: Remote.

Office Hours: Online by appointment.

Prerequisite: EENG 2620 for EENG 4310, and Senior/Graduate standing for EENG 5310.

 

Catalog Description: Transform domain and state space representations of linear systems, system response, system stability, root locus method, frequency response-based design, and state space system analysis and design.

 

Required or Elective Course: Elective

Reference Books:
1. Modern Control Engineering by Katsuhiko Ogata, Prentice Hall, New Jersey, 4th edition, ISBN: 0-13-060907-2.

2. Modern Control Systems by Richard C. Dorf and Robert H. Bishop, Prentice Hall, New Jersey, 10th edition, ISBN: 0-13-145733-0.

3. Modern Control Theory by William L. Brogan, Prentice Hall, New Jersey, 3rd edition, ISBN: 0-13-589763-7.

Attendance Policy:     In view of the continuous evaluation strategy adopted by the instructor, perfect attendance is recommended for those aspiring to get good grades.

Grading Policy:          Assignments/Quizzes/Class Tests: 35, Project: 35, and Final Examination: 30. There will be separate graduate and undergraduate examination papers. Graduate examinations will have less problem solving and more theory and algorithms, whereas the focus of undergraduate examinations will on problem solving.

Academic Dishonesty: Honesty is the best policy. Cheating will not be tolerated. Anyone found guilty of cheating on a test or assignment will be awarded an F grade for the course. Discussions of problems and assignment with your classmates is welcome and encouraged, however, sharing of solutions is not. If you need help, you should ask the instructor. Cheating includes, but is not limited to, all forms of plagiarism and misrepresentation. For your rights and responsibilities please refer to http://www.unt.edu/csrr

Statement regarding Disabled Students: The Faculty of Electrical Engineering including this instructor cooperates with the Office of Disability Accommodation (ODA) to make reasonable accommodations for students with certified disabilities (cf. Americans with Disabilities Act and Section 504, Rehabilitation Act). If you have not registered with ODA, we encourage you to do so immediately and present a written accommodation request along with an appropriate documentation from the Dean of Students Office http://www.unt.edu/oda/, on or before the 2nd week of class.

Final Exam Date and Time: TBD.

Course Outline and Delivery Plan

  1. Introduction to control Systems, taxonomy of control systems, example systems, ethical, professional and Contemporary Issues (Week 1)
  2. Mathematical modeling of dynamical systems: Laplace and Z-Transforms, and State-space Representation (Weeks 2 and 3)
  3. Stability of linear feedback control systems: Ruth-Hurwitz Criterion, and Root-locus methods (Weeks 4, 5 and 6)
  4. Frequency domain approaches to analysis and design of linear feedback systems: Bode’s plots, Nyquist stability criterion, and Nicholos charts                 (Weeks 7, 8 and 9)
  5. State-space methods for design of Linear Feedback Control Systems: Controllability and Observability concepts, Canonical Forms, and eigen-value approaches to stability                                                                                                                        (Weeks  10 through 14)
  6. Introduction to Digital (Sampled Data) Control Systems (Week 15)

Course Learning Outcomes

After completion of this course, the students will achieve the following learning outcomes:

[CLO-1]                   Knowledge of various kinds of control systems and typical examples

[CLO-2]                   Knowledge of Ethical and Professional Issues related to Control System Engineering

[CLO-3]                   Knowledge of Contemporary Issues related to Control System Engineering

[CLO-4]                   Proficiency in Mathematical  Modeling of Dynamical Systems

[CLO-5]                   Proficiency in the Design of Stable Linear Feedback Control Systems using Classical Control Theory

[CLO-6]                   Proficiency in the Design of Stable Linear Feedback Control Systems using modern State Space Approach

[CLO-7]                   Knowledge of the basic concepts related to sample data control systems

[CLO-8]                   Proficiency in Design, Development and Implementation of a Control System Design Project with an understanding of professional, ethical and contemporary issues

[CLO-9]                   Proficiency in a control system project reporting

Our EE Program Student Outcomes (SOs) (and ABET Criterion 3 Outcomes)

Upon completion of our BSEE program, the students will be able to:

[SO-1/ABET 3-1] identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics,

 

[SO-2/ABET 3-2] apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors,

 

[SO-3/ABET 3-3] communicate effectively with a range of audiences,

 

[SO-4/ ABET 3-4] recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts,

 

[SO-5/ABET 3-5] function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives,

 

[SO-6/ABET 3-6] develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions, and

 

[SO-7/ABET 3-7] acquire and apply new knowledge as needed, using appropriate learning strategies.

 

Relationship between Our BSEE Program Student Outcomes and Course Learning Outcomes

The course learning outcomes map onto our program’s student outcomes and ABET outcomes as depicted in the table below:

 

CLO

Student/ABET Criterion 3 Outcomes

 

SO-1/ 3 [1]

SO-2/ 3 [2]

SO-3/ 3 [3]

SO-4/ 3 [4]

SO-5/ 3 [5]

SO-6/ 3 [6]

SO-7/

3 [7]

1

 

 

x

 

2

 

 

 

x

  

 

3

 

 

x

 

4

x

 

 

 

 

 

5

x

x

 

 

 

 

6

x

x

 

 

 

 

7

x

 

 

 

 

 

 

8

x

x

 

 

9

 

x