The Research Of Optimizing Method Of PID Controller Based On Neural Network

This paper mainly researched the problems emerging from the neural network application in the parameter tuning and optimizing of PJD controller. A lot of simulations and experiments have proved the following conclusion: (l)The NN system identification must be further completed in order to provide a more accurate object model. (2) Because of the character of PID controller and the chosen of objective function, the direct optimizing method based on objective function such as pure-form method is still most commonly used. (3) The NN Intelligence PID controller has a good control effect in the on-line parameter tuning and optimizing. (4) Besides of B-P network, the application of Hopfield network in the parameter tuning and optimizing of PID controller is a promising method. Guo Peng (Control Theory and Control Engineering) Directed by prof. Han Pu...