ACADEMICS
Course Details

ELE403 - Control Systems Design

2023-2024 Spring term information
The course is not open this term
ELE403 - Control Systems Design
Program Theoretıcal hours Practical hours Local credit ECTS credit
Undergraduate 3 0 3 6
Obligation : Elective
Prerequisite courses : ELE354
Concurrent courses : ELE405
Delivery modes : Face-to-Face
Learning and teaching strategies : Lecture, Question and Answer, Problem Solving, Other: This course must be taken together with ELE405 CONTROL SYSTEM DESIGN LABORATORY.
Course objective : This course is a continuation of "ELE 354 Control Systems" which basically considers "analysis" of control systems. In ELE 403, the objective is to treat systems and control issues from a design point of view. Both classical (root-locus, frequency domain, PID) and modern (state space, algebric design) methods for control system design are covered. Nonlinear systems and control of time delay systems are also considered.
Learning outcomes : A student who completes the course successfully is expected to 1. Understand the nature of a control problem, 2. Be aware of practical issues and physical limitations concerning control systems, 3. Be able to choose a suitable control technique for a given control problem, 4. Design and implement control systems, 5. Be acquired a suitable background to study more advanced control problems.
Course content : An overview of control systems and a quick review of some basic concepts and subjects such as transient response, steady-state response, sensitivity, disturbance/noise rejection, stability, root-locus. Control system design by root-locus and frequency response; lead, lag, lag-lead compensation. PID control and its tuning. Linear algebraic design: unity-feedback configuration, two degree of freedom and input/output feedback configuration. Control of time delay systems, Smith's predictor and Emulator Based Control. Design of control systems in state-space: state feedback, observers, reduced order obsevers, observer+state feedback, quadratic optimal control. Nonlinear control systems: common nonlinearities, describing function analysis, linearization and phase plane analysis, limit cycles.
References : [1] Ogata K., Modern Control Engineering, 4th Ed., Prentice Hall, 2002.; [2] Dorf R.C. and Bishop R.H., Modern Control Systems, 9th Ed., Addison Wesley, 2001.; [3] Franklin G.F, Powell J.D. and Emami-Naeini A., Feedback Control of Dynamic Systems, ; 6th Ed., Addison Wesley, 2010.; [4] Kuo B.C., Automatic Control Systems, 7th Ed., Prentice Hall, 1995.; [5] D?Azzo J.J. and Houpis C.H., Linear Control Systems Analysis and Design, 4th Ed.,; McGraw-Hill, 1995.; [6] Dutton K., Thompson S. and Barraclough B., The art of Control Engineering, ; Addison-Wesley, 1997.; [7] Chen C.T., Control System Design: Transfer Function, State-Space and Algebraic Methods, Saunders-HBJ, 1993.; [8] Aström K.J. and Hagglund T., Automatic Tuning of PID Controllers, ISA, 1988.; [9] Gawthrop P.J., Continuous-Time Self-Tuning Control,Volume I-Design, Research Studies; Press, 1987.; [10] Atherton D.P., Nonlinear Control Engineering, Van Nostrand Reinhold, 1982.
Course Outline Weekly
Weeks Topics
1 An overview of control systems and a quick review of some basic concepts and subjects such as transient response, steady-state response, sensitivity, disturbance/noise rejection, stability, root-locus, etc.
2 Control system design by root-locus: a general design approach.
3 Control system design by root-locus: lead, lag and lag-lead compensation.
4 Control system design by frequency response: a quick review of frequency response and lead compensation
5 Control sytem design by frequency response: lag and lag-lead compensation
6 PID control and tuning of its parameters using various methods including Ziegler-Nichols step and frequency response methods, methods based on phase and gain margins and pole-placement approach.
7 Linear algebraic design: unity-feedback configuration, two degree of freedom and input/output feedback configuration.
8 Control of time delay systems, Smith's predictor and Emulator Based Control.
9 Midterm Exam
10 Design of control systems in state-space: a quick review of some basic concepts and subjects such as canonical forms, similarity transformation, controllability, observability, duality, etc., and control system design by state feedback.
11 Design of control systems in state-space: observer, reduced order observer and observer+state feedback
12 Design of control systems in state-space : Quadratic Optimal Control
13 Nonlinear control systems: common nonlinearities and describing function analysis
14 Nonlinear control systems: linearization and phase plane analysis
15 Preparation for Final exam
16 Final exam
Assessment Methods
Course activities Number Percentage
Attendance 0 0
Laboratory 0 0
Application 0 0
Field activities 0 0
Specific practical training 0 0
Assignments 5 10
Presentation 0 0
Project 0 0
Seminar 0 0
Quiz 0 0
Midterms 1 40
Final exam 1 50
Total 100
Percentage of semester activities contributing grade success 50
Percentage of final exam contributing grade success 50
Total 100
Workload and ECTS Calculation
Course activities Number Duration (hours) Total workload
Course Duration 13 3 39
Laboratory 0 0 0
Application 0 0 0
Specific practical training 0 0 0
Field activities 0 0 0
Study Hours Out of Class (Preliminary work, reinforcement, etc.) 14 4 56
Presentation / Seminar Preparation 0 0 0
Project 0 0 0
Homework assignment 5 4 20
Quiz 0 0 0
Midterms (Study Duration) 1 20 20
Final Exam (Study duration) 1 25 25
Total workload 34 56 160
Matrix Of The Course Learning Outcomes Versus Program Outcomes
Key learning outcomes Contribution level
1 2 3 4 5
1. Possesses the theoretical and practical knowledge required in Electrical and Electronics Engineering discipline.
2. Utilizes his/her theoretical and practical knowledge in the fields of mathematics, science and electrical and electronics engineering towards finding engineering solutions.
3. Determines and defines a problem in electrical and electronics engineering, then models and solves it by applying the appropriate analytical or numerical methods.
4. Designs a system under realistic constraints using modern methods and tools.
5. Designs and performs an experiment, analyzes and interprets the results.
6. Possesses the necessary qualifications to carry out interdisciplinary work either individually or as a team member.
7. Accesses information, performs literature search, uses databases and other knowledge sources, follows developments in science and technology.
8. Performs project planning and time management, plans his/her career development.
9. Possesses an advanced level of expertise in computer hardware and software, is proficient in using information and communication technologies.
10. Is competent in oral or written communication; has advanced command of English.
11. Has an awareness of his/her professional, ethical and social responsibilities.
12. Has an awareness of the universal impacts and social consequences of engineering solutions and applications; is well-informed about modern-day problems.
13. Is innovative and inquisitive; has a high level of professional self-esteem.
1: Lowest, 2: Low, 3: Average, 4: High, 5: Highest
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