DocumentCode
3278194
Title
Optimal control modification adaptive law for time-scale separated systems
Author
Nguyen, N.T.
Author_Institution
Intell. Syst. Div., NASA Ames Res. Center, Moffett Field, CA, USA
fYear
2010
fDate
June 30 2010-July 2 2010
Firstpage
2470
Lastpage
2475
Abstract
Recently a new optimal control modification has been introduced that can achieve robust adaptation with a large adaptive gain without incurring high-frequency oscillations as with the standard model-reference adaptive control. This modification is based on an optimal control formulation to minimize the ℒ2 norm of the tracking error. The optimal control modification adaptive law results in a stable adaptation in the presence of a large adaptive gain. This study examines the optimal control modification adaptive law in the context of a system with a time scale separation resulting from a fast plant with a slow actuator. A singular perturbation analysis is performed to derive a modification to the adaptive law by transforming the original system into a reduced-order system in slow time. A model matching conditions in the transformed time coordinate results in an increase in the actuator command that effectively compensate for the slow actuator dynamics. Simulations demonstrate effectiveness of the method.
Keywords
model reference adaptive control systems; optimal control; perturbation techniques; reduced order systems; high-frequency oscillations; model matching conditions; model-reference adaptive control; optimal control modification adaptive law; reduced-order system; singular perturbation analysis; time-scale separated systems; Adaptive control; Control systems; Damping; Error correction; Intelligent actuators; Optimal control; Programmable control; Reduced order systems; Robust control; Robust stability;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference (ACC), 2010
Conference_Location
Baltimore, MD
ISSN
0743-1619
Print_ISBN
978-1-4244-7426-4
Type
conf
DOI
10.1109/ACC.2010.5530586
Filename
5530586
Link To Document