Multi-Objective Optimal Fuzzy Fractional-Order PID Controller Design | Zendy

Amir Hajiloo | Zendy; Wenfang Xie | Zendy

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Multi-Objective Optimal Fuzzy Fractional-Order PID Controller Design

Author(s) -

Amir Hajiloo,

Wenfang Xie

Publication year - 2014

Publication title -

journal of advanced computational intelligence and intelligent informatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.172

H-Index - 20

eISSN - 1343-0130

pISSN - 1883-8014

DOI - 10.20965/jaciii.2014.p0262

Subject(s) - pid controller , control theory (sociology) , fuzzy logic , computer science , pareto optimal , controller (irrigation) , base (topology) , order (exchange) , mathematical optimization , mathematics , control engineering , multi objective optimization , control (management) , artificial intelligence , temperature control , machine learning , engineering , agronomy , finance , economics , biology , mathematical analysis

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.

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