基于RBF神经网络的控制系统PID调节器的设计

The Design of PID Regulator in Control System Based on Neural Networks

为了改善传统PID控制器的控制效果,采用RBF神经网络对控制系统PID参数进行自整定。分析了RBF神经网络PID整定原理,给出了相应的实例,并对该系统进行了仿真分析。仿真结果表明,采用RBF神经网络整定的PID控制器快速性好,自适应力强,具有良好的控制品质。

To improve the controlling effect of them,this paper uses RBF Neural networks to regulate the parameters of PID controller.First,it analyzes the control principle of RBF neural networks,then simulate the output of the control system using RBF neural networks in the regulating of PID parameters on the platform of software MATLAB.The result says： it has more quick response,good adaption and perfect control quality compared with traditional PID controller.