Course detail

Control of Dynamic Systems

FEKT-MRDSAcad. year: 2017/2018

The course deepens the knowledge of Systems Theory and Control Theory I. There are presented linearization method and engineering methods for synthesis of both continuous and discrete control systems. Nonlinear systems are analyzed by the phase plane method and harmonic linearization. The exercises are applied MATLAB, Simulink Toolbox CONTROL .

Language of instruction

Czech

Number of ECTS credits

6

Mode of study

Not applicable.

Guarantor

Ing. Petr Huták, Ph.D.

Department

Department of Power Electrical and Electronic Engineering (UVEE)

Learning outcomes of the course unit

Passed student is qualified:
- to apply mathematical description of nonlinear dynamic systems in MATLAB SIMULINK
- to calculate by linearization of nonlinear systems and applies it in MATLAB SIMULINK
- to desingn a regulation for continuous nonlinear systems (DC motor with separate excitation, asynchronous motor)
- to apply the phase plane in solving discrete nonlinear systems, in particular relay controllers
- to analyze discrete systems using harmonic linearization
- to desingn a simple fuzzy controller PSD (Simulink)

Prerequisites

student must be able to:
- Apply differential equations for electromechanical systems in both the time domain and in the operator's shape
- The theory of linear systems, ie, the transfer function, state matrix, feedback systems - analysis (accuracy, stability), the synthesis of PID controller
- Operate the software tool MATLAB SIMULINK

Co-requisites

Not applicable.

Planned learning activities and teaching methods

Teaching methods includes lectures and comnputer laboratories- specified in the article 7 of BUT Rules for Studies and Examinations.

Assesment methods and criteria linked to learning outcomes


Student obtains: max 40 points for numeric and laboratory excersises and max 60 points for final examination.

Course curriculum

1 Nonlinear dynamic systems
2. Linearization of the model. The solution to your computer.
3. State space control with observer.LQR regulators.
4.The state space model of synchronous motor.
5. The state space model of asynchronous motor.Vector control.
6. Synthesis of complex regulatory systems.
7. Digital control systems. Digital filtering.
8. Method of phase plane.
9. Relay controllers
10. Controllers in sliding mode.
11. Method of harmonic linearization.
12. Fuzzy control

Work placements

Not applicable.

Aims

The theoretical preliminary for courses of Elektrical drives.

Specification of controlled education, way of implementation and compensation for absences

Computer laboratory is mandatory
Compensation of an absence at laboratory after lecturer's recommendat

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

Bierke S.:Vergleichende Unterzuchungen feldorientierten Lagereglerstrukturen Fur Asynchronmotoren,TU Berlin 1982
Schonfeld R.:Digitale Regelung elektrische Antriebe,Dr. Alfred Huthig Heidelberg 1988
Zboray L., Ďurkovský F.:Stavové riadenie elektrických pohonov,FEI Košice 1995

Recommended reading

Not applicable.

Classification of course in study plans

  • Programme EEKR-M Master's

    branch M-SVE , 2 year of study, winter semester, elective specialised

Type of course unit

 

Lecture

39 hod., optionally

Teacher / Lecturer

Ing. Petr Huták, Ph.D.

Syllabus

State space model of dynamic nonlinear systems.
Numerical integration of state space equation.Program SIMULINK
Linearization of model.Computer solution.
State space model of synchronous and induction machine.Vector control of them.
Design-methods of feedback systems.
Design-methods of branched systems.
Digital control systems.Digital filtering.
Method of harmonic linearization.
Sliding mode regulators.
Method of harmonic linearization.
State feedback control with an observer.LQR regulators
Adaptive observer and Kalman estimator.
Neural networks and fuzzy systems.

Fundamentals seminar

10 hod., optionally

Teacher / Lecturer

Ing. Petr Huták, Ph.D.

Syllabus

State space model of DC motor.
Method of harmonic linearization
Design-methods for regulators of induction machine.
Nonliner regulators.
Validation

Exercise in computer lab

16 hod., optionally

Teacher / Lecturer

Ing. Petr Huták, Ph.D.

Syllabus

State space model of DC motor.
Simulation of induction machine.
State space model of synchronous machine.Vector control of them.
Method of harmonic linearization
Desingn and simulation of LQR regulators.
Simulation of sliding mode regulators
Nonliner regulators.
Fuzzy control.