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Title: Fuzzy PID controller for nonlinear plant
Authors: M. V. Burakov, V. G. Kurbanov
Journal: ARPN Journal of Engineering and Applied Sciences
Publisher: Khyber Medical College, Peshawar
Country: Pakistan
Year: 2016
Volume: 11
Issue: 9
Language: English
This paper deals with a design of fuzzy PID controllers for nonlinear dynamic system. An important feature of decomposed fuzzy PID controller is their simple structure. In its simplest version, it uses three one-input one-output fuzzy inferences with three separate bases with simple rules. The fuzzy PID controller parameters are optimized by using genetic algorithm. The performance of the proposed method is compared with the conventional PID methods for a coupled pendulums systems using MATLAB/Simulink software package. The experiment results show that in contrast to traditional PID controller, the developed approach can achieve better rapidity.
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