DocumentCode :
574158
Title :
Adaptive cancelation of matched unknown sinusoidal disturbances for unknown LTI systems by state derivative feedback
Author :
Basturk, Halil I. ; Krstic, Miroslav
Author_Institution :
Dept. of Mech. & Aerosp. Eng., Univ. of California, San Diego, La Jolla, CA, USA
fYear :
2012
fDate :
27-29 June 2012
Firstpage :
1149
Lastpage :
1154
Abstract :
Solutions already exist for the problem of canceling sinusoidal disturbances by measurement of the state or by measurement of an output for unknown linear and nonlinear systems. In this paper, we design an adaptive controller to cancel matched sinusoidal disturbances forcing a linear time-invariant system with unknown system parameters in controllable canonical form by using only measurement of state-derivatives. Our design is based on three steps, 1) parametrization of the sinusoidal disturbance as the output of a known feedback system with an unknown output vector that depends on both unknown disturbance parameters and unknown plant parameters, 2) design of an adaptive disturbance observer and, 3) design of an adaptive controller. We prove that the equilibrium of the closed loop adaptive system is stable and state of the considered system goes to zero as t → ∞ with perfect disturbance estimation. The effectiveness of the controller is illustrated with a simulation example of a second order system.
Keywords :
adaptive control; adaptive systems; closed loop systems; control system synthesis; linear systems; nonlinear control systems; observers; state feedback; LTI systems; adaptive cancelation; adaptive controller design; adaptive disturbance observer design; closed loop adaptive system; controllable canonical form; linear time-invariant system; matched unknown sinusoidal disturbances; nonlinear systems; output measurement; second order system; sinusoidal disturbance parametrization; state derivative feedback; state derivative measurement; unknown disturbance parameters; unknown plant parameters; Adaptive systems; Closed loop systems; Eigenvalues and eigenfunctions; Linear systems; Observers; Stability analysis; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference (ACC), 2012
Conference_Location :
Montreal, QC
ISSN :
0743-1619
Print_ISBN :
978-1-4577-1095-7
Electronic_ISBN :
0743-1619
Type :
conf
DOI :
10.1109/ACC.2012.6314742
Filename :
6314742
Link To Document :
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