Course detail

Modeling and Simulation

FSI-RDOAcad. year: 2020/2021

This module deals with modelling of dynamic system on computer. Systems are described by ordinary differential equations, differential-algebraic equations or e.g. by state automata. MATLAB and Simulink are used as main tools including their advanced functions and features. Theoretical findings are demonstrated on real educational models controlled from Simulink using I/O card MF624.

Language of instruction

Czech

Number of ECTS credits

5

Mode of study

Not applicable.

Guarantor

doc. Ing. Robert Grepl, Ph.D.

Department

Institute of Solid Mechanics, Mechatronics and Biomechanics (ÚMTMB)

Learning outcomes of the course unit

Students gain knowledge about
• linear systems and its analysis
• modelling in MATLAB/Simulink
• modelling of control systems
• practical experience with control of real system using I/O card from Simulink.

Prerequisites

Vectors and matrixes. ODEs. Mathematics and physics in the scope of previous study. Basic knowledge of programming in MATLAB.

Co-requisites

Not applicable.

Planned learning activities and teaching methods

Lectures, exercises, labs, individual students work.

Assesment methods and criteria linked to learning outcomes

The evaluation is based on the standard point system (0-100 points). Students can get up to 30 points for 3 tests during the semester. A minimum of 15 points is required to be classified. Further, the students can get up to 50 points for semestral projects and their presentation and up to 20 points for the final exam.

Course curriculum

Not applicable.

Work placements

Not applicable.

Aims

Students will learn about modelling of dynamic systems (mechanical, electromechanical, control) on computer.

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

Attendance at practical training is obligatory. Evaluation are made on exercises based on evaluation criteria.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

Aström, K. J. & Wittenmark, B.: Computer-controlled systems: theory and design (2nd ed.), 1990 (EN)
Dutton, K.; Thompson, S., Barraclough, B.: The Art of Control Engineering, 1997 (EN)
Pelánek, R.: Modelování a simulace komplexních systémů, MUNI, 2011 (CS)
Stejskal, V.; Valášek, M.: Kinematics and dynamics of machinery, Marcel Dekker, New York, 1996 (EN)

Recommended reading

Grepl, R.: Modelování mechatronických systémů v Matlab/SimMechanics, BEN - technická literatura, ISBN 978-80-7300-226-8 (CS)
Isermann, R.: Mechatronic Systems: Fundamentals, Springer, 2005 (EN)
Karban, P.: Výpočty a simulace v programech MATLAB a Simulink, cpress 2006 (CS)
Noskievič: Modelování a identifikace systémů, 1999 (CS)
Valášek M. a kol.: Mechatronika, Vydavatelství ČVUT Praha, 1995

Elearning

eLearning: currently opened course

Classification of course in study plans

  • Programme B3A-P Bachelor's

    branch B-MET , 2 year of study, summer semester, compulsory

  • Programme M2I-P Master's

    branch M-KSI , 2 year of study, summer semester, elective

Type of course unit

 

Lecture

26 hod., optionally

Teacher / Lecturer

Ing. Martin Brablc, Ph.D.
doc. Ing. Robert Grepl, Ph.D.

Syllabus

1. Introduction, motivation, examples
2. Dynamic system with continuous time
3. Solution of ODE in Matlab
4. Solution of ODE in Simulinku
5. Application of Maple for equation building
6. Dynamic systems with discrete time
7. Impact, friction and contact modeling in MBS
8. Linearization
9. State space models of linear systems
10. Control of linearized mechanical systems
11. Verification of nonlinear plant model with linear control
12. Stability of linear systems
13. Presentation of semestral project results

Computer-assisted exercise

13 hod., compulsory

Teacher / Lecturer

Ing. Martin Appel, Ph.D.
Ing. Matej Rajchl
Ing. Martin Brablc, Ph.D.
Ing. Barnabás Dobossy, Ph.D.

Syllabus

1. Introduction to Matlab and Simulink
2.-3. Modelling of linear oscilator
4.-6. Work on semestral project, tutorial

Laboratory exercise

13 hod., compulsory

Teacher / Lecturer

doc. Ing. Robert Grepl, Ph.D.

Syllabus

7.-12. Experimental work - control of real system from PC
13. Presentation of semestral project, assignment.

Elearning

eLearning: currently opened course