Course detail

Real Time Control and Simulation

FSI-RPO Acad. year: 2025/2026 Summer semester

Supervisor

doc. Ing. Robert Grepl, Ph.D.

Department

Institute of Solid Mechanics, Mechatronics and Biomechanics

Learning outcomes of the course unit

Prerequisites

Knowledge of mathematics, kinematics, dynamics equal to previous studies and programming in MATLAB/Simulink.

Planned learning activities and teaching methods

Assesment methods and criteria linked to learning outcomes

The course is graded on a standard 0-100 point scale. Students may earn up to 25 points for laboratory work, subject to completing at least 4 of the 7 assignments. Graded credit is awarded for a maximum of 75 points. Active participation in the labs is expected and attendance is mandatory. Learning is monitored on the basis of set assessment criteria.

Language of instruction

Czech

Aims

The course focuses on advanced real-time simulation techniques and related software and hardware. Theoretical knowledge will be applied in laboratory exercises where students will learn the process of identifying and designing advanced controls for a real laboratory model.

Upon completion of the course, students will gain knowledge and skills in the following areas:

  • Rapid prototyping of control systems and HIL (principles, software tools and hardware).
  • System identification
  • State control
  • Kalman filter
  • Nonlinear control
  • Complex team project development

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

The study programmes with the given course

Programme N-MET-P: Mechatronics, Master's
branch ---: no specialisation, 5 credits, compulsory

Type of course unit

 

Lecture

26 hours, optionally

Syllabus

Dynamic behaviour and properties of drive systems.
Structure of drive systems.
Interactive drive systems.
Basic drive systems: machines, gearbox – industry machines.
Basic drive systems: machines, gearbox – industry machines.
Operating states of drive systems and their stability.
Operating states of drive systems and their stability.
Computational modelling of drive systems.
Computational modelling of drive systems.
Stability of drive systems and defects.
Experimental monitoring of drive systems dynamics properties.
Linear, nonlinear and quadratic programming.

Laboratory exercise

26 hours, compulsory

Syllabus

Dynamics of rotating bodies.
Examples of drive systems structual analyses.
Basic features of torsion systems – examples.
Machines characteristics – examples.
Dynamics of gearbox systems – examples.
Dynamic properties modelling of industry machines.
Examples of drive systems control.
Computational modelling of movement systems.
Computational modelling of movement systems.
Stability of drive systems – examples.
Graded course-unit credit.