感应电动机伺服系统模糊神经网络滑模控制
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    摘要:

    根据感应电动机伺服驱动系统性能要求,设计了一种基于模糊神经网络的滑模控制器。当系统状态进入滑动超平面后,测量滑模控制的“抖振”指标,将测量的指标值输入到学习算法中,调整模糊神经网络的输出以消除“抖振”现象。该控制策略的仿真结果与实验结果吻合,控制器设计合理,“抖振”现象明显减小。

    Abstract:

    Considering the requirement of high performance of induction motor servo drive system, a sliding mode controller of induction motor drive system was developed based on fuzzy neural network. As the control system was in a state of hyper-plane sliding, the index of sliding mode control fluttering was investigated and input into the learning algorithm. Subsequently, the output of fuzzy neural network would be adjusted to reduce the fluttering. The analysis and the proposed method were verified by simulation and experiment. The results show that the simulation results agree well with the test results, the fluttering is reduced evidently, and the design of the sliding mode controller is rational. 

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王瑞明,刘青松,蒋静坪.感应电动机伺服系统模糊神经网络滑模控制[J].农业机械学报,2008,39(7):169-172.

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