Course detail
Real Time Control and Simulation
FSI-RPO Acad. year: 2020/2021 Summer semester
Students will learn about advanced techniques of real-time simulations, identification, advanced control systems and state/parameter estimation. Theoretical findings will be applied on team project dealing with complex control design for real educational model.
Language of instruction
Czech
Number of ECTS credits
5
Supervisor
Learning outcomes of the course unit
Students will gain knowledge about
• rapid control prototyping and HIL
• system identification
• state space control
• Kalman filter
• nonlinear control
• complex team project.
Prerequisites
Knowledge of mathematics, kinematics, dynamics equal to previous studies and programming in Matlab/Simulink.
Planned learning activities and teaching methods
Lectures, computer exercises, labs.
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 60 points for the semestral project and its presentation and up to 40 points for the final test.
Aims
Students will learn about advanced techniques of real-time simulations and related SW and HW. Theoretical findings will be demonstrated on process of identification and design of advanced control system for real laboratory model.
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.
The study programmes with the given course
Programme N-MET-P: Mechatronics, Master's, compulsory
Type of course unit
Lecture
26 hours, optionally
Teacher / Lecturer
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
Teacher / Lecturer
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.