DocumentCode :
2474008
Title :
LPV decoupling for multivariable control system design
Author :
Mohammadpour, Javad ; Grigoriadis, Karolos ; Franchek, Matthew ; Wang, Yue-Yun
Author_Institution :
Dept. of Mech. Eng., Univ. of Houston, Houston, TX, USA
fYear :
2009
fDate :
10-12 June 2009
Firstpage :
3112
Lastpage :
3117
Abstract :
The paper explores methods for decoupled linear parameter varying (LPV) control. The proposed approach seeks to benefit the multi-variable control of multi-input multi-output (MIMO) systems with variable operating conditions, variable parameters or nonlinear behavior. The method can improve the performance and reduce the variability of such MIMO systems with significant coupling in the system dynamics. We design MIMO decoupled feedback LPV controllers to address coupling effects. In particular, the method uses a parameter-dependent static inversion or SVD decomposition of the system to minimize the effects of the off-diagonal terms in the MIMO system transfer function matrix. The parameter-dependent decoupling matrices are selected along with the appropriate LPV controller design to guarantee the closed-loop performance specifications. A new parameter-dependent interaction measure is also introduced based on SVD decomposition and static inversion and is examined for the adaptive control design purposes to address the variability and coupling of the multivariable systems.
Keywords :
MIMO systems; adaptive control; closed loop systems; control system synthesis; feedback; linear systems; multivariable control systems; singular value decomposition; LPV controller design; LPV decoupling; MIMO decoupled feedback control; MIMO system; SVD decomposition; adaptive control design; closed-loop performance specification; decoupled linear parameter varying control; multiinput multioutput system; multivariable control system design; parameter-dependent decoupling matrices; parameter-dependent static inversion; transfer function matrix; Bandwidth; Control systems; Costs; Feedback; Frequency; MIMO; Matrix decomposition; Nonlinear dynamical systems; Open loop systems; Stability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, 2009. ACC '09.
Conference_Location :
St. Louis, MO
ISSN :
0743-1619
Print_ISBN :
978-1-4244-4523-3
Electronic_ISBN :
0743-1619
Type :
conf
DOI :
10.1109/ACC.2009.5160508
Filename :
5160508
Link To Document :
بازگشت