DocumentCode
2908248
Title
Adaptive output feedback actuator nonlinearity compensation for multivariable systems
Author
Gang Tao ; Burkholder, Jason O. ; Jiaxing Guo
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Virginia, Charlottesville, VA, USA
fYear
2013
fDate
17-19 June 2013
Firstpage
3356
Lastpage
3361
Abstract
This paper develops a framework of adaptive compensation of actuator nonlinearities with unknown parameters, for output feedback control of unknown multi-input multi-output linear time-invariant dynamic systems. A new controller parametrization is derived to deal with bilinear parameters from the actuator nonlinearity parameters and the dynamic system parameters, which, based on the LDU decomposition of the system high frequency gain matrix, is capable of overcoming the difficulty caused by a nondiagonal high frequency gain matrix and a special actuator nonlinearity parameter structure. The adaptive actuator nonlinearity compensation control scheme is a model reference adaptive control based design, employing an adaptive output feedback control law combined with an adaptive actuator nonlinearity inverse, to deal with parameter uncertainties in the system dynamics and actuator nonlinearities. Simulation results show the desired adaptive control system performance.
Keywords
MIMO systems; actuators; adaptive control; feedback; matrix algebra; multivariable control systems; nonlinear control systems; LDU decomposition; actuator nonlinearities; actuator nonlinearity parameters; adaptive actuator nonlinearity compensation control scheme; adaptive compensation; adaptive output feedback actuator nonlinearity compensation; bilinear parameters; controller parametrization; dynamic system parameters; frequency gain matrix; multi-input multi-output linear time invariant dynamic systems; multivariable systems; output feedback control; parameter uncertainties; unknown parameters; Actuators; Adaptation models; Adaptive control; Nickel; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference (ACC), 2013
Conference_Location
Washington, DC
ISSN
0743-1619
Print_ISBN
978-1-4799-0177-7
Type
conf
DOI
10.1109/ACC.2013.6580350
Filename
6580350
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