ACADEMICS
Course Detail
ELE 354 Control Systems
2016-2017 Summer term information
The course is not open this term
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://ects.hacettepe.edu.tr) in real-time and displayed here. Please check the appropriate page on the original site against any technical problems.
ELE354 - CONTROL SYSTEMS
| Course Name | Code | Semester | Theory (hours/week) |
Application (hours/week) |
Credit | ECTS |
|---|---|---|---|---|---|---|
| CONTROL SYSTEMS | ELE354 | 6th Semester | 3 | 0 | 3 | 5 |
| Prerequisite(s) | ELE301 Signals and Systems | |||||
| Course language | English | |||||
| Course type | Must | |||||
| Mode of Delivery | Face-to-Face | |||||
| Learning and teaching strategies | Lecture Question and Answer Problem Solving Other: This course must be taken together with ELE356 CONTROL SYSTEMS LABORATORY. | |||||
| Instructor (s) | Faculty members | |||||
| Course objective | The main purpose of this course is to teach fundamental analysis methods for control systems. The analysis methods discussed in the course are also useful for control system design; however analysis aspects of the methods will be emphasized. Various methods for transient analysis, steady-state analysis and stability analysis will be studied. To that end, after a comprehensive introduction to systems modeling; both frequency domain and time domain approaches are studied in detail. Design point of view is given implicitly via analysis examples. The topics covered in the course are reinforced via experiments conducted in ELE 356 (Control Systems Laboratory). | |||||
| Learning outcomes |
| |||||
| Course Content | Historical perspective of control systems. Basic concepts of open-loop and closed-loop, feedback. Models of physical systems: electrical systems, mechanical systems, fluid systems, thermal systems, servomotors, electro-mechanical systems. Block diagrams, signal-flow graphs. Time response analysis, steady-state error analysis. Sensitivity, disturbance rejection and stability analysis, Routh-Hurwitz criterion. Root-Locus plotting. Frequency response analysis: Bode, polar and magnitude-phase plots, Nyquist analysis, gain/phase margins, Nichols chart. State-space analysis: State-space description, state transition matrix, similarity transformation, diagonalization of system matrix, modal decomposition, companion forms, transfer function decomposition, controllability and observability. State-space design: State feedback, state observer. | |||||
| References | [1] Ogata K., Modern Control Engineering, 5/e, Prentice Hall, 2010. [2] Dorf R.C., and Bishop R.H., Modern Control Systems, 12/e, Prentice Hall, 2011. [3] Franklin G.F., Powell J.D, and Emami-Naeini A., Feedback Control of Dynamical Systems, 6/e, Prentice Hall, 2010. [4] Golnaraghi F., and Kuo B.C., Automatic Control Systems, 9/e, John Wiley, 2009. [5] Nise N.S., Control Systems Engineering, 6/e, John Wiley, 2011. | |||||
Course outline weekly
| Weeks | Topics |
|---|---|
| Week 1 | Historical perspective of control systems, basic concepts of open-loop and closed-loop, feedback |
| Week 2 | Models of physical systems: Electrical systems, mechanical systems |
| Week 3 | Models of physical systems: Fluid systems, thermal systems |
| Week 4 | Models of physical systems: Servomotors, electro-mechanical systems, block diagrams, signal-flow graphs |
| Week 5 | Time response analysis |
| Week 6 | Steady-state error analysis, sensitivity, disturbance rejection |
| Week 7 | Stability analysis, Routh-Hurwitz criterion |
| Week 8 | Root-Locus plotting |
| Week 9 | Midterm Exam |
| Week 10 | Frequency response analysis: Bode, polar and magnitude-phase plots |
| Week 11 | Frequency response analysis: Nyquist analysis, gain/phase margins, Nichols chart |
| Week 12 | State-space analysis: State-space description, state transition matrix, similarity transformation, diagonalization of system matrix |
| Week 13 | State-space analysis: Modal decomposition, companion forms, transfer function decomposition, controllability and observability |
| Week 14 | State-space design: State feedback, state observer |
| Week 15 | Final exam preparation |
| Week 16 | Final exam |
Assesment methods
| Course activities | Number | Percentage |
|---|---|---|
| Attendance | 0 | 0 |
| Laboratory | 0 | 0 |
| 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 | 40 |
| Final exam | 1 | 60 |
| Total | 100 | |
| Percentage of semester activities contributing grade succes | 0 | 40 |
| Percentage of final exam contributing grade succes | 0 | 60 |
| Total | 100 | |
Workload and ECTS calculation
| Activities | Number | Duration (hour) | Total Work Load |
|---|---|---|---|
| Course Duration (x14) | 14 | 3 | 42 |
| 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, ect) | 14 | 5 | 70 |
| Presentation / Seminar Preparation | 0 | 0 | 0 |
| Project | 0 | 0 | 0 |
| Homework assignment | 0 | 0 | 0 |
| Midterms (Study duration) | 1 | 10 | 10 |
| Final Exam (Study duration) | 1 | 28 | 28 |
| Total Workload | 30 | 46 | 150 |
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