Course detail
Control of Mechatronic Systems
FSI-RRM Acad. year: 2018/2019 Summer semester
Control theory of linear discrete systems, Z-transform, transfer functions, feedback systems, stability of feedback systems, design of digital controllers, discrete state feedback control, discrete state feedback control with an observer, discrete state feedback control with disturbing compensation, implementation of discrete algorithms in microcomputers, examples of control of mechatronic systems (NC machines, robots).
Language of instruction
Czech
Number of ECTS credits
6
Supervisor
Learning outcomes of the course unit
Acquired knowledge enables students to solve dynamic systems in the time domain as well as in the frequency domain, to design feedback controllers with a prescribed behavior of the closed loop, application for a position control of servodrives for NC machines and robots
Prerequisites
Linear differential equations, matrix calculus, principles of electrical engineering, mechanics, electrical servodrives
Planned learning activities and teaching methods
The course is taught through lectures explaining the basic principles and theory of the discipline. Teaching is suplemented by practical laboratory work.
Assesment methods and criteria linked to learning outcomes
The course-unit credit is awarded on condition of having to elaborated given problems. Individual solution is expected applying program MATLAB/SIMULINK. Examination has a written and an oral part.
Aims
The goal of the subject is to provide students with basic knowledge of control theory of dynamical systems and its application to control mechatronic and robotic systems by a feedback controller.
Specification of controlled education, way of implementation and compensation for absences
Attendance at practical training is obligatory.
The study programmes with the given course
Programme M2A-P: Applied Sciences in Engineering, Master's
branch M-MET: Mechatronics, compulsory
Type of course unit
Lecture
39 hours, optionally
Teacher / Lecturer
Syllabus
1. Introduction, dynamic systems, mathematical models
2. State space representation of dynamic systems, the meaning of eigenvalues of A matrix
3. Transfer functions, frequency response, time response
4. Block diagrams of control systems
5. Feedback systems, stability
6. Types of controllers
7. Design of feedback systems,
8. State feedback control
9. State feedback control with an observer
10.Digital control systems
11.Discrete control theory, Z-transform
12.Design method of numeric controllers
13.Discrete state control