摘要
将RBF神经网络引入PID控制中,建立了一个三层神经网络模型。通过RBF神经网络的在线辨识对PID控制的三个参数进行在线调整,从而改善系统的控制效果。仿真结果表明:基于RBF神经网络的PID控制与传统PID控制相比,具有较强的鲁棒性和自适应能力,控制精度高,效果好,安全可靠。
The RBF neural network in PID control was introduced,a three-layer neural network model was established,the online identification of RBF neural network to online adjust three parameters of PID control was used to improve the control effect of this system.The simulation results showed that compared PID control based on RBF neural network with traditional PID control,the former has stronger robustness and adaptive ability,high control precision,better and reliable control effect and other advantages.
出处
《现代建筑电气》
2012年第2期10-13,共4页
Modern Architecture Electric
