基于磁悬浮小车系统的自适应模糊滑模-PID混合控制方案

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Abstract This paper established mathematical model of the static maglev vehicle,by using kinetic energy equation and Lagrange equation firstly. Aiming at strong nonlinear,time-varying control problem of suspended vehicle,an adaptive variable universe fuzzy sliding mode and PID hybrid controller was proposed. With the expandable and shrinkable factor of the fuzzy and sliding mode conditions,the adaptive law was derived based on Lyapunov stability conditions of the control strategy. In order to eliminate the chattering in sliding-mode and achieve a smooth transition,the supervisory controller was designed correspondingly. Finally simulation and experimental analysis had been done,the results show the validity of the given control strategy.

Key words： Maglev adaptive fuzzy sliding mode controller mathematical model adaptive law Maglev supervisory controller

Received: 10 September 2012 Published: 11 December 2013

PACS:

TP273+.4

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	Articles by authors
	Liu Hexiang
	Hu Minqiang
	Yu Haitao
	Yu Li

Cite this article:

Liu Hexiang,Hu Minqiang,Yu Haitao等. Scheme of Variable Universe Fuzzy Sliding Mode Adaptive and PID Hybrid Controller for Maglev Vehicle[J]. Transactions of China Electrotechnical Society, 2013, 28(7): 93-100.

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http://dgjsxb.ces-transaction.com/EN/ OR http://dgjsxb.ces-transaction.com/EN/Y2013/V28/I7/93

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