Czech

Not applicable.

Become familiar with different approaches used by theoretical and especially practical solution in modern control theory.

RBEZ. The subject knowledge on the Bachelor´s degree level is requested.

Not applicable.

Teaching methods depend on the type of course unit as specified in the article 7 of BUT Rules for Studies and Examinations.

Lesson. Project max. 30 points.
Examination. Max. 70 points.

Lecture:
Physical background of control.
Design and realisation of continuous PID controllers, bump-less swithing, anti-windup.
Different types of PID controllers, realisation, setting of parameters, comparison, anti-windup and switching between algorithms.
Design and realisation of discrete analogy of continuous PID algorithms.
Philosophy of the process identification and design of controller's algorithm.
Optimum settings of controller's parameters, adaptive controllers, self tuning controllers, specific problems of adaptive control.
Artificial intelligence in controls algorithms. Real-time operating system. Programming in real-time, synchronisation methods, Software for computer control. Implementation of heterogenous algorithms in real-time.
A/D and D/A converters, binary outputs and inputs, galvanic isolation, isolations amplifiers.
Sensors and normalisation circuits, influence of disturbances.
Digital and continuous filtration.
Computer exercise:
Introductory lesson (organisation, instructions, safety). Demonstration.
Programing S-function, realization of a discrette filter.
Realisation of continuous PID controller, verification on the simulated model.
Discrete analogies of continuous PID algorithms, verification on the simulated model.
Simulation in real-time in the program MATLAB.
Verification of PID controllers on physical models. Anti-windup.
Various PID controllers, switching between algorithms.
Submission of projects.
Control of physical models.
Control of heating tunnel.
Contol of synchronous motors.
Presentation of protocols, credit.

Not applicable.

The aim of this subject is to formulate engineering problem as an optimization task, to find a solution and correctly interpret formulated problem. This process will be outlined using the classical and modern methods which are employed in the theory of automatic control.

The content and forms of instruction in the evaluated course are specified by a regulation issued by the lecturer responsible for the course and updated for every academic year.

Not applicable.

Not applicable.

Not applicable.

Not applicable.