Abstract
A kind of PID controller based on fuzzy RBF neural network is proposed to the problem that traditional PID controller is difficult to achieve good control effect because of the fixed parameters. This method includes the reasoning ability of fuzzy control and study ability of neural network. Fuzzy control and RBF neural network are combined in order to adjust the parameters of PID online to a group of kp, ki and kd, which is matching the plant best. Simultaneously the algorithm is applied to rolling mill hydraulic AGC system for PID controller parameter optimization. The simulation result shows that the PID controller greatly improves the dynamic performance and stable performance of the hydraulic AGC system.
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