prof. Ing. Petr Pivoňka, CSc.

Department of Control and Instrumentation (UAMT)

Course absolvent should be an able to design and adjust process controller with standards algorithms. Also to design control algorithms with complicated structures and to implement them into a process computer.

Basic knowledge and concepts of control theory: description of the dynamic system in the Laplace and the Z transformation, stability, dynamics and precision in the steady state. The recommended range of preliminary knowledge is given by the Systems and signals, Control theory - beginers courses. On the course are explained problems by physical control with the help of simple mathematical relationships. Students will deepen significantly and and understand the context by proposal of practical control systems.

Not applicable.

Not applicable.

Aström,K.J.-Wittenmark,B.:Computer-Controlled Systems, Theory and Design, Prentice-Hall Inc., London 1997 (EN)
Veleba, V.: Číslicová řídicí technika - počítačová cvičení. Skriptum VUT FEKT, Brno, 2005. (CS)
Pivoňka, P.: Číslicová řídicí technika. VUT v Brně, skriptum, 111s, 2013 (CS)

Techning methods include lectures, computer laboratories and practical laboratories. Course is taking advantage of e-learning (Moodle) system. Students have to write a single project/assignment during the course.

Lesson: Max. 30 points.
Examination: Max. 70 points.
Combined test -written part and oral evaluations written processing. Max. 70 points

Czech

Not applicable.

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.
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.
Petri nets and Grafcet

Computer exercise :
Introductory lesson (organisation, instructions, safety). Demonstration. Introduction to Automation Studio for direct implementation of real-time control algorithms in MATLAB/Simulink- PLC B&R-physical models.
Programing S-function in MATLAB.
Realisation of disrette variants of continuous PID controllers, optimizing of setting parameters..
Identification of parameters ARX modell, adaptive systems
Submission of projects.
Realisation of self-tuning controller
Control of physical models.
Control of heating tunnel.
Contol of synchronous motors.
Presentation of protocols, credit.

The target of this course is to get students acquainted with practical design, realization and parameters setting of controllers for real process control. Detailed explanation of all aspects for usage of controllers in control loops. Course absolvent should be able to design and to adjust process controllers with standard algorithms. In the project the student propose and verifies simple control algorithm worked in real-time.

Laboratory exercises are mandatory, properly excusable exercises can be replaced in consultation with lecturer.

• Programme EEKR-B Bachelor's

  branch B-AMT , 3. year of study, winter semester, 6 credits, optional specialized
  

• Programme EEKR-CZV lifelong learning

  branch ET-CZV , 1. year of study, winter semester, 6 credits, optional specialized
  

26 hours, compulsory

Ing. Jakub Dokoupil, Ph.D.
Ing. Libor Veselý, Ph.D.