EE406 LABORATORY OF FEEDBACK CONTROL SYSTEMS
| Course Code: | 5670406 |
| METU Credit (Theoretical-Laboratory hours/week): | 3 (1.00 - 4.00) |
| ECTS Credit: | 6.0 |
| Department: | Electrical and Electronics Engineering |
| Language of Instruction: | English |
| Level of Study: | Undergraduate |
| Course Coordinator: | Prof.Dr. AFŞAR SARANLI |
| Offered Semester: | Spring Semesters. |
Course Objectives
The laboratory course aims to equip the student with a thorough understanding and appreciation of the components of a complex system consisting of sensors and actuators as well as a computer based control hardware. The student will gain implementation insight and practical skills to develop and test control systems involved. The student will be exposed to realistic experimental setups that will challenge your understanding of theory and test your skills gained in complementary courses.
Course Content
Digital control of linear and nonlinear electromechanical systems; components of a digital control system; simulation models; Proportional-Derivative (PD) position control; lead-compensator speed control; pole-placement based state-space control of nonlinear cart-pendulum system; Optimal Linear Quadratic Regulator (LQR) based state-space control of flexible-joint and inverted pendulum systems; sampling rate selection and discrete-time controller design; more advanced advanced electromechanical control examples.
Prerequisite: EE 302.
Corequisite: EE 402.
Course Learning Outcomes
At the end of the laboratory, the student
- Will be acquinted with parts of a complex electromechanical system controlled by computer-based digital hardware;
- Will be exposed to a sufficiently rich environment for control experimentation,
- Will have practiced and solidified the skills in modeling and approximating components of such systems,
- Will have analyzed and experimentally tested different controllers to reach a variety of control objectives;
- Will be able to deal with real-life issues of system modeling, controller design and tuning, such as the presence of A/D and D/A conversion, noise, nonlinearities and quantization.
Program Outcomes Matrix
| Contribution | |||||
| # | Program Outcomes | No | Yes | ||
| 1 | An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics | ✔ | |||
| 2 | An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors | ✔ | |||
| 3 | An ability to communicate effectively with a range of audiences | ✔ | |||
| 4 | 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. | ✔ | |||
| 5 | An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives | ✔ | |||
| 6 | An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions | ✔ | |||
| 7 | An ability to acquire and apply new knowledge as needed, using appropriate learning strategies | ✔ | |||