Course detail

Computer Control

FEKT-CCRTAcad. year: 2010/2011

Design and realisation of various continuous and discrete PID controllers. Optimization of adjusted parameters. Design, realisation and verification of simple adaptive controllers. Self-tuning controllers. Fuzzy and neural controllers. Control of technological processes. Real-time operated systems. Programming in real-time, synchronization methods. Implementation of digital controllers. Sensors, normalisation, connection, limited of disturbance. Digital and continuous filtration.

Language of instruction

English

Number of ECTS credits

6

Mode of study

Not applicable.

Guarantor

prof. Ing. Petr Pivoňka, CSc.

Department

Department of Control and Instrumentation (UAMT)

Learning outcomes of the course unit

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

Prerequisites

The subject knowledge on the secondary school level is required.

Co-requisites

Not applicable.

Planned learning activities and teaching methods

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

Assesment methods and criteria linked to learning outcomes

Lesson: Max. 30 points.
Excamination: Max. 70 points.

Course curriculum

Not applicable.

Work placements

Not applicable.

Aims

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. The student will design and verify the simple adaptive control algorithm as a semester project. Course absolvent should be able to design and to adjust process controllers with standard algorithms. S/he should be also prepared to apply control algorithms with very complicated structures into a process computer.

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

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.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

Not applicable.

Recommended reading

Not applicable.

Classification of course in study plans

  • Programme EECC Bc. Bachelor's

    branch BC-AMT , 3 year of study, winter semester, elective specialised

Type of course unit

 

Lecture

39 hod., optionally

Teacher / Lecturer

prof. Ing. Petr Pivoňka, CSc.

Syllabus

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. Expert control.
Fuzzy controllers.
Neural controllers.
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.

Exercise in computer lab

26 hod., compulsory

Teacher / Lecturer

prof. Ing. Petr Pivoňka, CSc.

Syllabus

Introductory lesson (organisation, instructions, safety). Demonstration.
Simulation in real-time in the program MATLAB.
Realisation of continuous PID controller, verification on the simulated model.
Discrete analogies of continuous PID algorithms, verification on the simulated model.
Verification of PID controllers on physical models. Anti-windup.
Various PID controllers, switching between algorithms.
Character of identification methods, last square method, semester project.
Programming and verification of last square method.
Design of PSD controller from identified parameters.
Fuzzy controllers. Fuzzy control of car.
Verification of self-tuning controller.
Neural controllers. Presentation of protocols, verification of programs.
Presentation of protocols, credit.