ČeskyLog in
  • QS Top Universities
  • Join us in research
  • Research centres
  • Brno University of Technology - Centre of Sports Activities
  • BUT halls of residence belong to top 3

  • Pravděpodobně máte vypnutý JavaScript. Některé funkce portálu nebudou funkční.

Course detail

Intelligent controllers

Subjet code : FEKT-NIRG
Faculty: Faculty of Electrical Engineering and Communication
Academic year: 2011/2012
Open: No
Supervisor: prof. Ing. Petr Pivoňka, CSc.
Department: Department of Control and Instrumentation
Study level: Master's
Study form: full-time study
Language of instruction: English
Number of credits: 6
Completion: course-unit credit and examination
Year of study: 2
Semester: winter
Duty: optional specialized

The study programmes with the given course

Objective of the course – aims of the course unit:
Target of this course is to acquaint students with practical design, realization and parameters setting of controllers with artificial intelligence 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. He should be also prepared to apply control algorithms with new structures into a process computer.
Objective of the course – learning outcomes and competences:
Course absolvent should be an able to design and adjust process controller with standards algorithms. Also to design control algorithms with structures with principles artificial intelligence and implement them into a process computer too.
Prerequisites:
The subject knowledge on the Bachelor´s degree level is requested.
Course contents (annotation):
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. Artificial intelligence in proces control (Fuzzy and neural controllers, Control of technological processes). Sensors, normalisation, connection, limited of disturbance. Individual project of simple self-tuning controller with artificial intelligence.
Teaching methods and criteria:
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.
Examination. Max. 70 points.
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 reading:
Aström,K.J.-Wittenmark,B.:Computer-Controlled Systems, Theory and Design, Prentice-Hall Inc., London 1997
Skriptum. Q:\VYUKA\PIVONKA\CRT
Bobál, V. a kol.: Praktické aspekty samočinně se nastavujících regulátorů. VUT Brno, VUTIUM, 1999.

Type of course unit:
Lecture: 39 hours, optionally
Teacher: prof. Ing. Petr Pivoňka, CSc.
Laboratory exercise: 26 hours, compulsory
Teacher: prof. Ing. Petr Pivoňka, CSc.