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
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