DocumentCode :
635086
Title :
Robust LQ control with adaptive law for MIMO descriptor system
Author :
Watanabe, Yoshihiro ; Katsurayama, Naruya ; Takami, Isao ; Gan Chen
Author_Institution :
Grad. Sch. of Math. Sci. & Inf. Eng., Nanzan Univ., Seto, Japan
fYear :
2013
fDate :
23-26 June 2013
Firstpage :
1
Lastpage :
6
Abstract :
This paper presents a robust LQ control system with Model Reference Adaptive Control(MRAC) law for MIMO system which is described as descriptor form. Generally, the performance degradation is expected to happen in case that uncertainty excess the upper and lower bound which are considered in the robust control synthesis process. For this problems, adaptive control algorithms have potential to improve performance and reliability in control system. In this study, we focus on this characteristics of adaptive control algorithms and add adaptive law into usual robust control system. The proposed system is synthesized by two-step approach. First of all robust LQ controller is synthesized through solving some LMI conditions. This robust LQ controller can be handle with limited uncertainty parameters. Second, adaptive law is designed and consolidated closed loop stability of adaptive loop and the robust LQ control loop is analyzed though solving quadratic stability conditions. The feature of this study are as follows: 1. Quadratic stability is analyzed in case of MIMO system described as descriptor form with adaptive law. 2. Convergence speed is considered at the design process of adaptive law with σ-modification. 3. The effectiveness of the proposed method is verified by some experiments using a test-scale 2 Degree-of-Freedom (2DOF) helicopter.
Keywords :
MIMO systems; closed loop systems; control system synthesis; linear matrix inequalities; linear quadratic control; model reference adaptive control systems; stability; σ-modification; 2DOF helicopter; LMI conditions; MIMO descriptor system; MRAC law; adaptive control algorithms; adaptive law; adaptive loop; closed loop stability; convergence speed; limited uncertainty parameters; lower bound; model reference adaptive control; quadratic stability conditions; reliability; robust LQ control system; robust control synthesis process; test-scale 2-degree-of-freedom; two-step approach; upper bound; Adaptation models; Adaptive systems; Helicopters; MIMO; Robustness; Stability analysis; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (ASCC), 2013 9th Asian
Conference_Location :
Istanbul
Print_ISBN :
978-1-4673-5767-8
Type :
conf
DOI :
10.1109/ASCC.2013.6606248
Filename :
6606248
Link To Document :
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