Course detail

Simulation of Dynamic Systems

FSI-FSI Acad. year: 2026/2027 Winter semester

Supervisor

prof. Ing. Zdeněk Hadaš, Ph.D.

Department

Institute of Automation and Computer Science

Learning outcomes of the course unit

Prerequisites

Fundamentals of mathematics, including differential and integral calculus of functions in one and more variables and solution of system differential equations. Fundamentals of physics, mechanics, electrical engineering, and automatic control, as well as knowledge of functions in the MATLAB environment and basic models in Simulink.

Planned learning activities and teaching methods

Assesment methods and criteria linked to learning outcomes

Course-unit credit: Active participation in the seminars, elaboration of a given project.

Examination: Written test and oral examination.

Attendance at seminars is controlled. An absence can be compensated for via solving additional problems.

Language of instruction

Czech

Aims

The aim of the course is to familiarize students with the methods of modeling and simulation of electromechanical systems, which are commonly used in automation.

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

The study programmes with the given course

Programme B-STR-P: Engineering, Bachelor's
branch AIŘ: Applied Computer Science and Control, 5 credits, compulsory

Type of course unit

 

Lecture

26 hours, optionally

Syllabus


  • Introduction to the concepts of model, simulation, and system. Introduction to the Simulink environment.

  • Issues related to numerical solvers.

  • Modeling of electrical systems with RLC elements.

  • Modeling of mechanical resonators.

  • Modeling of a DC motor.

  • Modeling of a converter for motor power supply.

  • Motor speed control.

  • Cascade control of motor current and speed.

  • Wind-up issues and anti-wind-up solutions.

  • State-space modeling.

  • Modeling using SimScape.

Computer-assisted exercise

26 hours, compulsory

Syllabus


  • Introduction to the Simulink environment and simple analytical examples.

  • Simulation of basic dynamic systems and testing of different solvers.

  • Modeling and simulation of electrical systems with RLC elements.

  • Modeling and simulation of mechanical resonators.

  • Modeling and simulation of a DC motor.

  • Modeling and simulation of a converter for motor power supply.

  • Simulation of motor speed control.

  • Simulation of cascade control of motor current and speed.

  • Simulation of the wind-up problem and its solution (anti-wind-up).

  • Modeling and simulation in the state space.

  • Modeling and simulation using SimScape.