ACADEMICS
Course Details
ELE403 - Control Systems Design
2024-2025 Fall 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. |
| 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 |
| 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 | |
| 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 |
| 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