| Title |
Design of TLBO-based Optimal Fuzzy PID Controller for Magnetic Levitation System |
| Authors |
조재훈(Cho, Jae-Hoon) ; 김용태(Kim, Yong Tae) |
| DOI |
https://doi.org/10.5370/KIEE.2017.66.4.701 |
| Keywords |
Teaching-learning-based optimization ; Fuzzy PID controller ; Magnetic levitation ; Rail-guided vehicle |
| 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. |