The paper proposes a PID algorithm based on RBF neural network to solve the problem that the PID parameters of water temperature control in process control experiment are difficult to set. The algorithm is applied to water temperature control experiment by simulation and experiment. Firstly,the step response curve method to obtain the mathematics model of the water temperature is used in the paper. Secondly,the RBF neural network tuning PID controller is designed and applied to the water temperature model by simulation. Finally,the tuned PID parameters are put in the water temperature control experiments and experimental comparison with conventional PID method is made. The results indicate that the RBF neural network tuning PID controller has lots of advantages,such as the simple structure,the strong robustness and the better control effect. In a word,the method has good application value.
关键词
RBF神经网络整定PID/建模/仿真/水温控制
Key words
RBF neural network tuning PID/modeling/simulation/water temperature control
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