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Journal of Zhejiang University SCIENCE A 2005 Vol.6 No.7 P.707-710


A new digital approach to design multivariable robust optimal control systems

Author(s):  LIU Xiang, CHEN Lin, SUN You-xian

Affiliation(s):  National Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou 310027, China

Corresponding email(s):   0099422@fa.zju.edu.cn

Key Words:  l&infin, /H&infin, , Dynamic decoupling, Normal matrix, Row characteristic function

LIU Xiang, CHEN Lin, SUN You-xian. A new digital approach to design multivariable robust optimal control systems[J]. Journal of Zhejiang University Science A, 2005, 6(7): 707-710.

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author="LIU Xiang, CHEN Lin, SUN You-xian",
journal="Journal of Zhejiang University Science A",
publisher="Zhejiang University Press & Springer",

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%D 2005
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.2005.A0707

T1 - A new digital approach to design multivariable robust optimal control systems
A1 - LIU Xiang
A1 - CHEN Lin
A1 - SUN You-xian
J0 - Journal of Zhejiang University Science A
VL - 6
IS - 7
SP - 707
EP - 710
%@ 1673-565X
Y1 - 2005
PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.2005.A0707

This paper presents a new design of robust optimal controller for multivariable system. The row characteristic functions of a linear multivariable system and dynamic decoupling of its equivalent system, were applied to change the transfer function matrix of a closed-loop system into a normal function matrix, so that robust H optimal stability is guaranteed. Furthermore, for the decoupled equivalent control system the l&infin; optimization approach is used to have the closed-loop system embody optimal time domain indexes. A successful application on a heater control system verified the excellence of the new control scheme.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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[8] Liu, X., Shen, G.J., Chen, L., Sun, Y.X., 2004. Multivariable Robust Digital Control: An Extended Schur Decomposition Approach. Proceedings of the 5th World Congress on Intelligent Control and Automation, p.519-521.

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