Course detail

Control of Dynamic Systems

FEKT-MRDSAcad. year: 2019/2020

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 .

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)


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


Not applicable.

Recommended optional programme components

Not applicable.

Recommended or required reading

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

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

Not applicable.

Language of instruction


Work placements

Not applicable.

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


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

Classification of course in study plans

  • Programme EEKR-M1 Master's

    branch M1-SVE , 2. year of study, winter semester, 6 credits, optional specialized

Type of course unit



39 hours, optionally

Teacher / Lecturer

Fundamentals seminar

10 hours, optionally

Teacher / Lecturer

Exercise in computer lab

16 hours, optionally

Teacher / Lecturer