DocumentCode :
424265
Title :
Volterra basic function network based adaptive controller
Author :
Yu, Ping ; Han, Pu ; Dong, Ze ; Jia, Zeng-Zhou
Author_Institution :
Dept. of Autom., North China Electr. Power Univ., Baoding, China
Volume :
2
fYear :
2004
fDate :
26-29 Aug. 2004
Firstpage :
729
Abstract :
In this paper, the Volterra polynomial basic function (VPBF) network based on Volterra series is applied to compound control with PID to realize feed-forward control., which is more simple than the existing CMAC method. And the system error is the input of network to realize the dynamic specialty of the plant. With the proceeding of learning, the inverse dynamic model of controlled plant is realized. The method Apparently is superior to single PID control and the method of CMAC network. The simulating result shows that this method is simple and effective with the fast response speed and the strong robustness.
Keywords :
Volterra series; adaptive control; cerebellar model arithmetic computers; feedforward; polynomials; three-term control; CMAC method; PID control; Volterra polynomial basic function network; adaptive controller; compound control; feedforward control; inverse dynamic model; Adaptive control; Adaptive systems; Automatic control; Control systems; Feedforward systems; Inverse problems; Kernel; Nonlinear filters; Nonlinear systems; Programmable control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
Print_ISBN :
0-7803-8403-2
Type :
conf
DOI :
10.1109/ICMLC.2004.1382280
Filename :
1382280
Link To Document :
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