EE498 SPECIAL TOPICS : CONTROL SYSTEM DESIGN AND SIMULATION

Course Code:5670498
METU Credit (Theoretical-Laboratory hours/week):3 (3.00 - 0.00)
ECTS Credit:5.0
Department:Electrical and Electronics Engineering
Language of Instruction:English
Level of Study:Undergraduate
Course Coordinator:Prof.Dr. KLAUS VERNER SCHMİDT
Offered Semester:Spring Semesters.

Course Objectives

Control loops are used in many technical devices and industrial applications. Examples can be found in automotive applications, process and production industry, manufacturing processes, home appliances, medical applications, robotics, etc. In order to support the development and advance of such systems, this course studies fundamental properties of control systems and teaches widely-used controller design techniques. The topics of the course include 

  • Analysis of plant/open loop properties and their effect on the design of control systems
  • PID controller design methods and anti-windup
  • Polynomial approach for pole placement
  • Smith predictor for time-delay systems
  • Model predictive control
  • Numerical simulation.

Course Content

Fundamental limits in the feedback loop, advanced controller design techniques, PID design, polynomial approach, Smith predictor, anti-windup, model predictive control, control design examples, numerical solution of ordinary differential equations ,explicit and implicit numerical solution methods, numerical stability.


Course Learning Outcomes

At the end of the course, the students will be able to

  • understand fundamental limitations for the design of control systems
  • apply various controller design methods
  • identify suitable control methods for different control problems
  • perform numerical simulation of dynamic systems.

Program Outcomes Matrix

Contribution
#Program OutcomesNoYes
1An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics
2An 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
3An ability to communicate effectively with a range of audiences
4An 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.
5An 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
6An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions
7An ability to acquire and apply new knowledge as needed, using appropriate learning strategies