Control System Design – Fall-2017

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

Instructor: Parthasarathy (Partha) Guturu

Faculty Office: NTDP B-235

Phone: 940-891-6877

Email: guturu@unt.edu

Teaching Assistant: Jyothis Joseph

Class Hours: M/W 12:30 PM-1:50 PM

Class Room: NTDP B-227.

Office Hours: T 2:00PM-3:30 PM. Students unable to see me during this time may request an appointment.

Prerequisite: Senior/Graduate

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.

PowerPoint Slides

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 assignments, exams and projects for undergraduate and graduate students.

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

Student Outcomes (SOs)of Our BSEE Program

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

[SO-1] An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics.

 

[SO-2] An ability to apply the engineering design process to produce solutions that meet

specified needs with consideration for public health and safety, and global, cultural, social, environmental, economic, and other factors as appropriate to the Electrical Engineering discipline.

 

 [SO-3] An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions.

 

[SO-4] An ability to communicate effectively with a range of audiences.

 

[SO-5] An ability to 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-6] An ability to recognize the ongoing need to acquire new knowledge, to choose appropriate learning strategies, and to apply this knowledge.

 

[SO-7] An ability to function effectively as a member or leader of a team that establishes goals, plans tasks, meets deadlines, and creates a collaborative and inclusive environment.

 

ABET Criterion 3 Outcomes

[1].                        An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics.

[2].                        An ability to apply the engineering design process to produce solutions that meet specified needs with consideration for public health and safety, and global, cultural, social, environmental, economic, and other factors as appropriate to the discipline.

[3].                        An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions.

[4].                        An ability to communicate effectively with a range of audiences.

[5].                        An ability to 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.

[6].                        An ability to recognize the ongoing need to acquire new knowledge, to choose appropriate learning strategies, and to apply this knowledge.

[7].                        An ability to function effectively as a member or leader of a team that establishes goals, plans tasks, meets deadlines, and creates a collaborative and inclusive environment.

 

Relationship between the Course Learning Outcomes and Student/ABET Criterion 3 Outcomes

The course learning outcomes map onto the program 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

 

 

 

 

 

6

x

 

 

 

 

 

7

x

 

 

 

 

 

 

8

x

x

 

 

 

9

 

 

x