A multivariable MRAC scheme with sensor uncertainty compensation

Author

Guo, Jiaxing ; Tao, Gang

Author_Institution

Dept. of Electr. & Comput. Eng., Univ. of Virginia, Charlottesville, VA, USA

fYear

2009

fDate

15-18 Dec. 2009

Firstpage

6632

Lastpage

6637

Abstract

This paper develops a multivariable model reference adaptive control (MRAC) scheme for multi-input multi-output LTI systems with parameterized sensor uncertainties. Adaptive compensation of sensor uncertainties is incorporated with a feedback control law. An sensor uncertainty compensator is designed to estimate the actual system signals which are not available because of sensor uncertainties, and a state feedback controller is constructed using the compensator output. Stable adaptive laws update the sensor compensation controller parameters to accommodate the sensor uncertainties. Simulation results are presented which verify some established adaptive compensation control system performance properties.

Keywords

MIMO systems; compensation; linear systems; model reference adaptive control systems; multivariable control systems; sensors; state feedback; uncertain systems; actual system signals; adaptive compensation control system performance property; compensator output; feedback control law; multi-input multi-output LTI systems; multivariable MRAC scheme; multivariable model reference adaptive control scheme; parameterized sensor uncertainty; sensor compensation controller parameters; sensor uncertainty compensation; sensor uncertainty compensator; state feedback controller; Adaptive control; Adaptive systems; Control systems; Feedback control; Programmable control; Sensor systems; Signal design; State estimation; State feedback; Uncertainty; adaptive control; multivariable systems; sensor uncertainty; tracking; uncertainty parametrization;

fLanguage

English

Publisher

ieee

Conference_Titel

Decision and Control, 2009 held jointly with the 2009 28th Chinese Control Conference. CDC/CCC 2009. Proceedings of the 48th IEEE Conference on

Conference_Location

Shanghai

ISSN

0191-2216

Print_ISBN

978-1-4244-3871-6

Electronic_ISBN

0191-2216

Type

conf

DOI

10.1109/CDC.2009.5399547

Filename

5399547