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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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摘要

This article describes the composition and working principle of electro-hydraulic position servo control system, and establishes a systematic mathematical model. This article presents a controller which is based on Fuzzy neural networks for an electro-hydraulic speed governor. The design process of the RBF Fuzzy neural network control is introduced in detail. This controller which combines the advantages of the Fuzzy control and Neutral networks control can get the best PID parameters by self-adjustment on line. The simulation study proves that this control system has a better adaptability and can improve the 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。详细介绍了RBF模糊神经网络控制的设计过程。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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