On PID Controller Design Using Knowledge Based Fuzzy System

The designing of PID controllers is a frequently discussed problem. Many of design methods have been developed, classic (analytical tuning methods, optimization methods etc.) or not so common fuzzy knowledge based methods which are designed to achieve good setpoint following, corresponding time resp...

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Bibliographic Details
Published inAdvances in electrical and electronic engineering Vol. 10; no. 1; pp. 18 - 27
Main Authors Nowakova, Jana, Pokorny, Miroslav
Format Journal Article
LanguageEnglish
Published Ostrava Faculty of Electrical Engineering and Computer Science VSB - Technical University of Ostrava 01.03.2012
VSB-Technical University of Ostrava
Subjects
feedback control
fuzzy system
knowledge base
pid controller
ziegler-nichols design methods
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Summary:The designing of PID controllers is a frequently discussed problem. Many of design methods have been developed, classic (analytical tuning methods, optimization methods etc.) or not so common fuzzy knowledge based methods which are designed to achieve good setpoint following, corresponding time response etc. In this case, the new way of designing PID controller parameters is created where the above mentioned knowledge system based on relations of Ziegler-Nichols design methods is used, more precisely the combination of the both Ziegler-Nichols methods. The proof of efficiency of a proposed method and a numerical experiment is presented.
ISSN:1336-1376
1804-3119
DOI:10.15598/aeee.v10i1.594