Title :
Adaptive compensation of sensor uncertainties
Author :
Tian, Ming ; Tao, Gang
Author_Institution :
Dept. of Electr. Eng., Virginia Univ., Charlottesville, VA, USA
Abstract :
Sensor imperfection in control systems often limits system performance, which motivates a new control problem formulation to address the situation when sensors introduce uncertainties into control systems. Adaptive control schemes are developed for linear plants with a class of sensor uncertainties. Such an adaptive control scheme employs a fixed model reference control law for the linear plant and an adaptive compensator for the sensor uncertainty. Extensive simulation results show that the proposed adaptive control schemes significantly improve system performance
Keywords :
compensation; linear systems; model reference adaptive control systems; sensors; uncertain systems; MRACS; adaptive compensation; adaptive control schemes; control systems; linear plants; model reference control law; sensor uncertainties; Adaptive control; Control systems; Feedback control; Linear feedback control systems; Polynomials; Programmable control; Sensor phenomena and characterization; Sensor systems; Temperature control; Uncertainty;
Conference_Titel :
American Control Conference, 1997. Proceedings of the 1997
Conference_Location :
Albuquerque, NM
Print_ISBN :
0-7803-3832-4
DOI :
10.1109/ACC.1997.608962
