ACADEMICS
Course Details
ELE 405 Control System Design Laboratory
2020-2021 Fall term information
The course is open this term
| Supervisor(s): | Dr. Şölen Kumbay Yıldız | |
| Assistant(s): | Uygar Demir İbrahim Bozyel | |
| Place | Day | Hours |
|---|---|---|
| - | ||
Timing data are obtained using weekly schedule program tables. To make sure whether the course is cancelled or time-shifted for a specific week one should consult the supervisor and/or follow the announcements.
Course definition tables are extracted from the ECTS Course Catalog web site of Hacettepe University (http://akts.hacettepe.edu.tr) in real-time and displayed here. Please check the appropriate page on the original site against any technical problems. Course data last updated on 02/12/2020.
ELE405 - CONTROL SYSTEM DESIGN LABORATORY
| Course Name | Code | Semester | Theory (hours/week) |
Application (hours/week) |
Credit | ECTS |
|---|---|---|---|---|---|---|
| CONTROL SYSTEM DESIGN LABORATORY | ELE405 | 7th Semester | 0 | 3 | 1 | 2 |
| Prerequisite(s) | ||||||
| Course language | English | |||||
| Course type | Elective | |||||
| Mode of Delivery | Face-to-Face | |||||
| Learning and teaching strategies | Lecture Question and Answer Experiment Problem Solving Other: This course must be taken together with ELE403 CONTROL SYSTEMS DESIGN. | |||||
| Instructor (s) | Faculty members | |||||
| Course objective | This course is designed to support "ELE 403 Control System Design" course. The control tecniques thaught in ELE 403 are examined and tested either by computer simulations using MATLAB or by experiments using laboratory set-ups. | |||||
| Learning outcomes |
| |||||
| Course Content | P, PI and PID control. Control system design by using root-locus and Bode plots. Linear algebraic design. Time delay sytems and predictive control. State-space, state feedback and observers. Control of nonlinear systems using linear techniques. | |||||
| 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] Dutton K., Thompson S. and Barraclough B., The art of Control Engineering, Addison-Wesley, 1997. [5] Chen C.T., Control System Design: Transfer Function, State-Space and Algebraic Methods, Saunders-HBJ, 1993. [6] Aström K.J. and Hagglund T., Automatic Tuning of PID Controllers, ISA, 1988. [7] Gawthrop P.J., Continuous-Time Self-Tuning Control,Volume I-Design, Research Studies Press, 1987. [8] Atherton D.P., Nonlinear Control Engineering, Van Nostrand Reinhold, 1982. [9] AMIRA DTS200 Three Tank System, Manual. [10] AMIRA DR300 Speed Control, Manual. [11] AMIRA LTR701 Air and Temperature Control Plant, Manual. [12] AMIRA PS600 Inverted Pendulum, Manual. | |||||
Course outline weekly
| Weeks | Topics |
|---|---|
| Week 1 | An overview of the control systems and the set-ups used in the experiments. |
| Week 2 | Modelling a liquid level system using step response. |
| Week 3 | Least squares parameter estimation. Estimating parameters of the liquid level system using least squares method. |
| Week 4 | P, PI and PID control of the liquid level system. |
| Week 5 | Modelling a DC servo system using practical data. |
| Week 6 | P, PI and PID control of the DC servo system. |
| Week 7 | Controller design by using root-locus: computer simulations using MATLAB. |
| Week 8 | Controller design by using Bode plotes: computer simulations using MATLAB. |
| Week 9 | Linear algebraic design: computer simulations using MATLAB. |
| Week 10 | Midterm exam |
| Week 11 | Predictive control of time delay systems: computer simulations using MATLAB. |
| Week 12 | PID and predictive control of a thermal air flow system. |
| Week 13 | Observer+state feedback: computer simulations using MATLAB. |
| Week 14 | State feedback control of an inverted pendulum system. |
| Week 15 | Preparation for Final exam |
| Week 16 | Final exam |
Assesment methods
| Course activities | Number | Percentage |
|---|---|---|
| Attendance | 0 | 0 |
| Laboratory | 12 | 40 |
| Application | 0 | 0 |
| Field activities | 0 | 0 |
| Specific practical training | 0 | 0 |
| Assignments | 0 | 0 |
| Presentation | 0 | 0 |
| Project | 0 | 0 |
| Seminar | 0 | 0 |
| Midterms | 1 | 20 |
| Final exam | 1 | 40 |
| Total | 100 | |
| Percentage of semester activities contributing grade succes | 0 | 60 |
| Percentage of final exam contributing grade succes | 0 | 40 |
| Total | 100 | |
Workload and ECTS calculation
| Activities | Number | Duration (hour) | Total Work Load |
|---|---|---|---|
| Course Duration (x14) | 1 | 3 | 3 |
| Laboratory | 12 | 3 | 36 |
| Application | 0 | 0 | 0 |
| Specific practical training | 0 | 0 | 0 |
| Field activities | 0 | 0 | 0 |
| Study Hours Out of Class (Preliminary work, reinforcement, ect) | 12 | 1 | 12 |
| Presentation / Seminar Preparation | 0 | 0 | 0 |
| Project | 0 | 0 | 0 |
| Homework assignment | 0 | 0 | 0 |
| Midterms (Study duration) | 1 | 2 | 2 |
| Final Exam (Study duration) | 1 | 4 | 4 |
| Total Workload | 27 | 13 | 57 |
Matrix Of The Course Learning Outcomes Versus Program Outcomes
| D.9. Key Learning Outcomes | Contrubition level* | ||||
|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |
| 1. PO1. Possesses the theoretical and practical knowledge required in Electrical and Electronics Engineering discipline. | X | ||||
| 2. PO2. Utilizes his/her theoretical and practical knowledge in the fields of mathematics, science and electrical and electronics engineering towards finding engineering solutions. | X | ||||
| 3. PO3. Determines and defines a problem in electrical and electronics engineering, then models and solves it by applying the appropriate analytical or numerical methods. | X | ||||
| 4. PO4. Designs a system under realistic constraints using modern methods and tools. | X | ||||
| 5. PO5. Designs and performs an experiment, analyzes and interprets the results. | X | ||||
| 6. PO6. Possesses the necessary qualifications to carry out interdisciplinary work either individually or as a team member. | X | ||||
| 7. PO7. Accesses information, performs literature search, uses databases and other knowledge sources, follows developments in science and technology. | X | ||||
| 8. PO8. Performs project planning and time management, plans his/her career development. | X | ||||
| 9. PO9. Possesses an advanced level of expertise in computer hardware and software, is proficient in using information and communication technologies. | X | ||||
| 10. PO10. Is competent in oral or written communication; has advanced command of English. | X | ||||
| 11. PO11. Has an awareness of his/her professional, ethical and social responsibilities. | X | ||||
| 12. PO12. Has an awareness of the universal impacts and social consequences of engineering solutions and applications; is well-informed about modern-day problems. | X | ||||
| 13. PO13. Is innovative and inquisitive; has a high level of professional self-esteem. | X | ||||
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest