Abstract
Concerning PID process control of nonlinear dynamic system,a control model and its method of PID parameter adaptive tuning based on Process Neural Network(PNN) identification were proposed in the paper.Using the learning mechanism of PNN for time-varying input-output signals of dynamic system,the PID control with parameter adaptive matching was implemented by tracing change sensitivity information of the output with the controlling input of the controlled object by identifying the controlled object under certain optimal control rule.The PID control system structure and corresponding realization mechanism based on PNN identification were presented in the paper and the experimental results verify the effectiveness of the model and algorithm.
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