摘要
讨论了RBF辨识网络的控制算法,并提出了一种新型PID控制器,该控制器利用神经元自适应PID的在线参数调整,采用RBF网络对被控对象在线辨识。仿真结果表明该控制器的控制效果优于传统的PID控制算法和模糊自适应PID控制算法。
The control arithmetic of RBF identification network was discussed and a new PID controller was raised. This controller used the PID on-line parameters adjustment of nerve cell self adaptation, and used the BFR network to identify on-line the controlled object. The simulation results showed that control effect of the controller was better than that of the conventional PID control arithmetic and the PID control arithmetic of fuzzy self adaptation.
出处
《冶金动力》
2006年第4期84-86,共3页
Metallurgical Power
关键词
RBF辨识
神经网络PID控制
仿真
RBF identification
PID control of neural network
simulation