Zhejiang Industry Polytechnic College, Shaoxing, China. 312000

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Abstract—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 selfadjustment on line. The simulation study proves that this control system has a better adaptability and can improve the control effect greatly.

Index Terms—RBF neural network, electro-hydraulic servo system, PID controller, fuzzy control.

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Cite: Huaizhong Chen, "Research of the Electro-hydraulic Servo System Based on RBF Fuzzy Neural Network Controller," Journal of Software vol. 7, no. 9, pp. 1960-1967, 2012.