The Transactions of The Korean Institute of Electrical Engineers (전기학회논문지)

The Korean Institute of Electrical Engineers (대한전기학회)
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Design of TLBO-based Optimal Fuzzy PID Controller for Magnetic Levitation System

자기부상시스템을 위한 교수-학습 최적화 알고리즘 기반의 퍼지 PID 제어기 설계

  • Cho, Jae-Hoon (Smart Logistics Technology Institute, Hankyong National University) ;
  • Kim, Yong Tae (Department of Electrical, Electronic and Control Engineering, Hankyong National University)
  • Received : 2016.12.28
  • Accepted : 2017.03.07
  • Published : 2017.04.01
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Abstract

This paper proposes an optimum design method using Teaching-Learning-based optimization for the fuzzy PID controller of Magnetic levitation rail-guided vehicle. Since an attraction-type levitation system is intrinsically unstable, it is difficult to completely satisfy the desired performance through the conventional control methods. In the paper, a fuzzy PID controller with fixed parameters is applied and then the optimum parameters of fuzzy PID controller are selected by Teaching-Learning optimization. For the fitness function of Teaching-Learning optimization, the performance index of PID controller is used. To verify the performances of the proposed method, we use a Maglev model and compare the proposed method with the performance of PID controller. The simulation results show that the proposed method is more effective than conventional PID controller.

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References

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