DocumentCode :
550668
Title :
Multivariable self-tuning control for nonlinear MIMO system using quasi-ARX RBFN model
Author :
Wang Lan ; Cheng Yu ; Hu Jinglu
Author_Institution :
Grad. Sch. of Inf., Production & Syst., Waseda Univ., Kitakyushu, Japan
fYear :
2011
fDate :
22-24 July 2011
Firstpage :
3772
Lastpage :
3776
Abstract :
This paper proposes a multi-input and multi-output (MIMO) quasi-ARX model and a multivariable decoupling proportional-integral-differential (PID) controller for MIMO nonlinear systems based on the proposed model. The proposed controller consists of a traditional PID controller with a decoupling compensator and a feed-forward compensator for the nonlinear dynamics from the MIMO quasi-ARX model. Then an adaptive control algorithm is presented using the MIMO quasi-ARX Radial Basis Function Network (RBFN) prediction model. Simulation results show the effectiveness of the proposed control method.
Keywords :
MIMO systems; compensation; neurocontrollers; nonlinear control systems; radial basis function networks; three-term control; PID; Quasi-ARX RBFN model; decoupling compensator; feedforward compensator; multi-input and multi-output; multivariable self tuning control; nonlinear MIMO system; nonlinear dynamics; proportional integral differential controller; radial basis function network; Adaptation models; Adaptive systems; Control systems; MIMO; Nonlinear systems; Polynomials; Predictive models; MIMO Nonlinear System; MIMO Quasi-ARX Model; MIMO Quasi-ARX Radial RBFN Predictor; Multivariable Decoupling PID Controller;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (CCC), 2011 30th Chinese
Conference_Location :
Yantai
ISSN :
1934-1768
Print_ISBN :
978-1-4577-0677-6
Electronic_ISBN :
1934-1768
Type :
conf
Filename :
6001007
Link To Document :
بازگشت