### Control System Design (ME 303)

2021 Fall
Faculty of Engineering and Natural Sciences
Mechatronics(ME)
3
6.00 / 6.00 ECTS (for students admitted in the 2013-14 Academic Year or following years)
Melih Türkseven melih.turkseven@sabanciuniv.edu,
English
ENS206
Formal lecture,Recitation,Laboratory
Discussion based learning,Simulation

### CONTENT

This courses introduces fundamental approaches to control system design. Specific topics include: cascade compensation networks; design in frequency domain; design using the Root Locus; systems with a prefilter; design of state variable feedback systems; controllability; observability; pole placement using state feedback; Ackermann's formula; ; limitations of state variable feedback ; state observers; the design of robust control systems.

### OBJECTIVE

Objective of the course is to enable students to understand why automatic control is useful, recognize the value of integrated control and process design, identify when a process is easy or difficult to control, learn key ideas and concepts in dynamics and feedback, grasp relevant mathematical theory, be able to solve some important control problems and recognize difficult ones, and be aware of computational tools.

### LEARNING OUTCOME

- Derive and manipulate transfer functions of linear dynamical systems and characterize system performance in terms of time domain criteria such as rise-time, overshoot, settling time and steady-state error
- Check and interpret the closed-loop stability of feedback systems using various methods such as Bode diagrams, Nyquist plots, root locus and Routh Hurwitz criterion.
- Analyze and design linear controllers such as PID, Lead/Lag and State variable feedback for single input/single output systems both in time and frequency domains
- Describe and use design trade-offs
- Design control systems in state space, including design of linear observers.
- Convert continuous time controllers into digital ones.
- Use MATLAB/Simulink in control system design
- Identify the parameters of physical plants. Implement control algorithms in real-time using suitable embedded controllers and discretization methods. Analyse and interpret the response. Tune controller parameters to obtain desired specifications.

### ASSESSMENT METHODS and CRITERIA

 Percentage (%) Final 30 Midterm 30 Assignment 20 Individual Project 20