Title :
L1 adaptive controller with additional uncertainty bias estimation
Author :
Cooper, Joshua ; Chengyu Cao
Author_Institution :
Dept. of Mech. Eng., Univ. of Connecticut, Storrs, CT, USA
Abstract :
This paper presents an L1 adaptive controller with an additional approximator in the adaptive law. The new approximator is used to estimate biases in system uncertainties. The benefit of this approach is the ability to maintain performance with increased integration step-size. This is an important improvement because hardware sampling time is a limitation in any real-world application. The improvements of this design are verified in simulation using two different step-sizes, and comparing the results to the traditional L1 controller.
Keywords :
adaptive control; approximation theory; estimation theory; uncertain systems; L1 adaptive controller; additional approximator; additional uncertainty bias estimation; hardware sampling time; real-world application; system uncertainties; Adaptive systems; Approximation methods; Bandwidth; Estimation; State feedback; Uncertainty; Vectors; Adaptive Control; Estimation; Uncertainty;
Conference_Titel :
Control and Decision Conference (CCDC), 2013 25th Chinese
Conference_Location :
Guiyang
Print_ISBN :
978-1-4673-5533-9
DOI :
10.1109/CCDC.2013.6560996