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《Techniques of Automation and Applications》 2004-05
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Neural Network-Based PID Controller

REN Zi-wu, GAO Jun-shan (Harbin University of Science and Technology, Harbin 150080, China)  
A new-type controller is presented in this paper, there a BP neural network is utilized to achieve PID parameters self-adjustment and a RBF neural network is utilized to identify the controlled plant on line. Simulation results indicate that the effectiveness of this controller is superior to the traditional PID control algorithm and the fuzzy adaptive PID control algorithm.
【Fund】: NeuralNe
【CateGory Index】: TP273.4
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