JACIII Vol.18 No.3 pp. 262-270
doi: 10.20965/jaciii.2014.p0262


Multi-Objective Optimal Fuzzy Fractional-Order PID Controller Design

Amir Hajiloo and Wen-Fang Xie

Department of Mechanical and Industrial Engineering, Concordia University, 1455 de Maisonneuve W., Montreal, QC, H3G 1M8, Canada

November 1, 2013
February 21, 2014
May 20, 2014
fractional-order calculus, PID controller, fuzzy logic, Pareto
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.
Cite this article as:
A. Hajiloo and W. Xie, “Multi-Objective Optimal Fuzzy Fractional-Order PID Controller Design,” J. Adv. Comput. Intell. Intell. Inform., Vol.18 No.3, pp. 262-270, 2014.
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