Virtual unmodeled dynamics modeling for nonlinear multivariable adaptive control with decoupling design

Yajun Zhang, Tianyou Chai, Dianhui Wang, Xinkai Chen

研究成果: Article

2 引用 (Scopus)

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For a class of complex industrial processes with nonlinear, strongly coupled multivariable properties, a new multivariable decoupling design framework which based on the concepts of virtual unmodeled dynamics (VUD) and lower order linear models is proposed in this paper. First, a selftuning multivariable decoupling controller is constructed based on a lower order model. Then based on the compensator of the VUD, a nonlinear multivariable decoupling controller is designed, where a decomposition estimation algorithm is employed for modeling the VUD. In our proposed scheme, it solves the problem that the current input signal is embedded in the VUD and the true input data vector used by the learner model is difficult to be obtained in time. The linear and nonlinear decoupling controllers are integrated by an adaptive switching control algorithm to take advantage of their complementary features. Finally, the stability and convergence of the proposed algorithm is analyzed. Experimental tests on a heavily coupled nonlinear twin-tank system are carried out to demonstrate the effectiveness and the practicability of the proposed method.

元の言語English
記事番号7571110
ページ(範囲)342-353
ページ数12
ジャーナルIEEE Transactions on Systems, Man, and Cybernetics: Systems
48
発行部数3
DOI
出版物ステータスPublished - 2018 3 1

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Human-Computer Interaction
  • Computer Science Applications
  • Electrical and Electronic Engineering

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