Pneumatic Position Servo System Using Multi‐Variable Multi‐Objective Genetic Algorithm–Based Fractional‐Order PID Controller

2022 ◽  
pp. 33-61
Author(s):  
D. Magdalin Mary ◽  
V. Vanitha ◽  
G. Sophia Jasmine
Keyword(s):  
Genetic Algorithm ◽  
Fractional Order ◽  
Pid Controller ◽  
Servo System ◽  
Multi Objective ◽  
Multi Objective Genetic Algorithm ◽  
Position Servo ◽  
Fractional Order Pid ◽  
Fractional Order Pid Controller

Multi-Objective Optimal Fuzzy Fractional-Order PID Controller Design

2014 ◽  
Vol 18 (3) ◽  
pp. 262-270 ◽  
Author(s):  
Amir Hajiloo ◽  
◽  
Wen-Fang Xie
Keyword(s):  
Fractional Order ◽  
Pid Controller ◽  
Controller Design ◽  
Design Rule ◽  
Rule Base ◽  
Fuzzy Logic Systems ◽  
Multi Objective ◽  
Pid Controller Design ◽  
Fractional Order Pid ◽  
Fractional Order Pid Controller

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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