A multivariable MRAC scheme with sensor uncertainty compensation

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.

[1]  A. Morse,et al.  Parameterizations for multivariable adaptive control , 1981, 1981 20th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes.

[2]  Shanshan Li,et al.  Feedback based adaptive compensation of control system sensor uncertainties , 2009, Autom..

[3]  T.-H. Guo,et al.  Sensor failure detection and recovery by neural networks , 1991, IJCNN-91-Seattle International Joint Conference on Neural Networks.

[4]  Gang Tao,et al.  Adaptive Control Design and Analysis , 2003 .

[5]  Giampiero Campa,et al.  Neural Networks-Based Sensor Validation for the Flight Control System of a B 777 Research Model , 2002 .

[6]  Austin M. Murch A Flight Control System Architecture for the NASA AirSTAR Flight Test Infrastructure , 2008 .

[7]  E. Zafiriou,et al.  Use of neural networks for sensor failure detection in a control system , 1990, IEEE Control Systems Magazine.

[8]  Marcello R. Napolitano,et al.  Aircraft failure detection and identification using neural networks , 1993 .

[9]  Marcello R. Napolitano,et al.  Neural networks-based sensor validation for the flight control system of a B777 research model , 2002, Proceedings of the 2002 American Control Conference (IEEE Cat. No.CH37301).

[10]  M. Napolitano,et al.  Neural-network-based scheme for sensor failure detection, identification, and accommodation , 1995 .

[11]  Zhang Chen,et al.  Artificial neural network for sensor failure detection in an automotive engine , 1994, Conference Proceedings. 10th Anniversary. IMTC/94. Advanced Technologies in I & M. 1994 IEEE Instrumentation and Measurement Technolgy Conference (Cat. No.94CH3424-9).

[12]  Alan S. Willsky,et al.  F-8 DFBW sensor failure identification using analytic redundancy , 1977 .

[13]  Gang Tao,et al.  Adaptive control of systems with actuator failures , 2004, 2008 Chinese Control and Decision Conference.