关键词: 遗传算法, 神经网络, 自适应, 神经元PID

Abstract: A self-adaptive PID controller based on genetic algorithm and neural networks is presented.It consists of three parts： PID parameters are optimized by the genetic algorithm，and genetic algorithm combined with the RBF neural networks approaches the controlled object，searching for a group of initial parameters；RBF neural networks get Jacobian information；A self-adaptive PID controller based on the single neural network adjusts the PID parameters on line to insure the optimal dynamic and steady response.The simulation results show that the controller has a fast response speed，high steady precision.It can be used in different objects and processes.

Key words: genetic algorithm, neural networks, self-adaptive, neuron PID