Abstract

A fuzzy neural network controller combines both the advantages of neural networks and fuzzy control. It is an excellent control strategy for hydraulic position control systems. In this paper, a type of fuzzy neural network structure is proposed. By means of DSP, an efficient way for implementing the fuzzy neural network real-time control is obtained. This fuzzy neural network controller adjusts the parameters of membership functions online in order to acquire the required control performance. The experiments on the electrohydraulic position control system prove the practicability of this fuzzy neural network controller.

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