Multi-Objective Optimal Fuzzy Fractional-Order PID Controller Design

The design of the optimal fuzzy fractional-order PID controller is addressed in this work. A multi-objective genetic algorithm is proposed to design rule base and membership functions of the fuzzy logic systems. Three conflicting objective functions in both time and frequency domains have been used...

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Bibliographic Details
Published inJournal of advanced computational intelligence and intelligent informatics Vol. 18; no. 3; pp. 262 - 270
Main Authors Hajiloo, Amir, Xie, Wen-Fang
Format Journal Article
LanguageEnglish
Published 20.05.2014
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Summary:The design of the optimal fuzzy fractional-order PID controller is addressed in this work. A multi-objective genetic algorithm is proposed to design rule base and membership functions of the fuzzy logic systems. Three conflicting objective functions in both time and frequency domains have been used in Pareto design of the fuzzy fractional-order PID controller. The simulation results reveal the effectiveness of the proposed method in comparison with the results produced by the fractional-order PID controllers.
ISSN:1343-0130
1883-8014
DOI:10.20965/jaciii.2014.p0262