Multivariable self-tuning control for nonlinear MIMO system using quasi-ARX RBFN model

Lan Wang, Yu Cheng, Jinglu Hu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings of the 30th Chinese Control Conference, CCC 2011
Pages3772-3776
Number of pages5
Publication statusPublished - 2011 Sep 27
Event30th Chinese Control Conference, CCC 2011 - Yantai, China
Duration: 2011 Jul 222011 Jul 24

Publication series

NameProceedings of the 30th Chinese Control Conference, CCC 2011

Conference

Conference30th Chinese Control Conference, CCC 2011
CountryChina
CityYantai
Period11/7/2211/7/24

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Keywords

  • MIMO Nonlinear System
  • MIMO Quasi-ARX Model
  • MIMO Quasi-ARX Radial RBFN Predictor
  • Multivariable Decoupling PID Controller

ASJC Scopus subject areas

  • Control and Systems Engineering

Cite this

Wang, L., Cheng, Y., & Hu, J. (2011). Multivariable self-tuning control for nonlinear MIMO system using quasi-ARX RBFN model. In Proceedings of the 30th Chinese Control Conference, CCC 2011 (pp. 3772-3776). [6001007] (Proceedings of the 30th Chinese Control Conference, CCC 2011).