Abstract
Maglev is a system in which the train runs levitated from the guideway by using electromagnetic forces between superconducting magnets (ferromagnetic materials) on board of the train and coils on the ground. The magnetic levitation train system are based on two types, electrodynamics suspension (EDS) and electromagnetic suspension (EMS). EDS is based on repulsive forces acting on a magnet and is inherently stable system and even has well robustness in many cases with open loop control. In this paper, we have assumed the EMS based train system. The electromagnetic suspension system is based on attractive forces acting on a magnet and is complex, unstable and the model is strongly nonlinear. In addition, due to the external disturbances like wind, the unbalanced magnetic forces between the guideway and the train, and parameter perturbation, the system model has greater uncertainty. This paper presents a hybrid neuro-fuzzy controllers for the magnetic levitation train system. The controllers are designed to bring the magnetic levitation system in a stable region by keeping the train suspended in the air in the required position in the presence of uncertainties. PID controller is used to generate the data which requires to train the hybrid controllers. The performance and robustness of the controllers have been compared by simulating the system with disturbances. After implementing and validating, the Matlab simulation results show that the performance of the system (overshoot, settling time, rise time and peak response) have improved and the controller have good robustness and adaptability.
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Teklehaimanot, Y.K., Negash, D.S., Workiye, E.A. (2019). Design of Hybrid Neuro-Fuzzy Controller for Magnetic Levitation Train Systems. In: Mekuria, F., Nigussie, E., Tegegne, T. (eds) Information and Communication Technology for Development for Africa. ICT4DA 2019. Communications in Computer and Information Science, vol 1026. Springer, Cham. https://doi.org/10.1007/978-3-030-26630-1_10
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DOI: https://doi.org/10.1007/978-3-030-26630-1_10
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