Title :
Smith predictive control based on NN
Author :
Wang, Pei-Guang ; Feng, He-Ping ; Zong, Xiao-ping
Author_Institution :
Coll. of Electron. & Inf. Eng., Hebei Univ., Baoding, China
Abstract :
Researching the application of neural networks and the Smith predictor in the system with time-delay, considering the delayed problem of the system, a new control approach is introduced, which can realize the predictive control by combining the Smith predictor with the NN and PID control which is tuned by BP neural network through the predictive errors effectively. We use the RBFNN in the Smith predictor, which is better than BPNN. The simulation shows that Smith predictive control based on NN has a strong robustness and better controlling character. A satisfactory controlling effect is obtained.
Keywords :
backpropagation; compensation; delays; neurocontrollers; nonlinear control systems; predictive control; radial basis function networks; robust control; three-term control; tuning; PID control tuning; Smith predictive control; backpropagation neural network; predictive error; radial basis function neural network; robustness; time delay; Control systems; Educational institutions; Electrical equipment industry; Information analysis; Mathematical model; Neural networks; Optimal control; Predictive control; Predictive models; Three-term control; BPNN; PID control; RBFNN; Smith predictor;
Conference_Titel :
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
Conference_Location :
Guangzhou, China
Print_ISBN :
0-7803-9091-1
DOI :
10.1109/ICMLC.2005.1527670
