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Research of the Electro-hydraulic Servo System Based on RBF Fuzzy Neural Network Controller

机译:基于RBF模糊神经网络控制器的电液伺服系统研究。

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This article describes the composition andworking principle of electro-hydraulic position servo controlsystem, and establishes a systematic mathematical model.This article presents a controller which is based on Fuzzyneural networks for an electro-hydraulic speed governor.The design process of the RBF Fuzzy neural networkcontrol is introduced in detail. This controller whichcombines the advantages of the Fuzzy control and Neutralnetworks control can get the best PID parameters by selfadjustmenton line. The simulation study proves that thiscontrol system has a better adaptability and can improvethe control effect greatly.
机译:本文介绍了电动液压位置伺服控制系统的组成和工作原理,并建立了系统的数学模型。本文提出了一种基于模糊神经网络的电动液压调速器控制器。RBF模糊神经网络控制的设计过程详细介绍。该控制器结合了模糊控制和神经网络控制的优点,可以通过在线自调整获得最佳的PID参数。仿真研究表明,该控制系统具有较好的适应性,可以大大提高控制效果。

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