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http://dx.doi.org/10.5391/JKIIS.2014.24.3.279

Design of Levitation Controller with Optimal Fuzzy PID Controller for Magnetic Levitation System  

Cho, Jae-Hoon (Smart Logistics Technology Institute, Hankyong National University)
Kim, Yong-Tae (Dept. of Electrical, Electronics and Control Engineering, Hankyong National University)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.24, no.3, 2014 , pp. 279-284 More about this Journal
Abstract
This paper proposes a optimum design method for the Fuzzy PID controller of magnetic levitation-based Rail-Guided Vehicle(RGV). Since an attraction type levitation system is intrinsically unstable, it is difficult to completely satisfy the desired performance through the methods designed by conventional controllers. In the paper, the Fuzzy PID controller with fixed parameters are applied and then the optimum parameters of fuzzy PID controller are selected by genetic algorithm. For the fitness function of genetic algorithm, the performance index of PID controller is used. To verify the performance of the proposed method, we used Matlab/simulink model of Maglev and compared the proposed method with the performance of PID controller. The simulation results show that the proposed method is more effective than conventional PID controller.
Keywords
Fuzzy PID cotroller; Magnetic Levitation-based Rail-Guided Vehicle; Genetic algorithm;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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