Sensor fault reconstruction and sensor compensation for a class of nonlinear state-space systems via a descriptor system approach

Gao, Zhiwei and Ding, Steven X. (2007) Sensor fault reconstruction and sensor compensation for a class of nonlinear state-space systems via a descriptor system approach. IET Control Theory & Applications, 1 (3). pp. 578-585. ISSN 1751-8644

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Abstract

A descriptor system approach is introduced to investigate sensor fault reconstruction and
sensor compensation for a class of nonlinear state-space systems with Lipschitz constraints. Letting
the sensor fault term be an auxiliary state vector, an augmented descriptor system is constructed.
Using the linear matrix inequality technique, a state-space nonlinear estimator is designed for the
augmented descriptor plant. Accurate asymptotic estimates of the original system state vector and
the sensor fault term are thus obtained readily. By subtracting the estimated sensor fault term from
the measurement output, sensor compensation is performed, allowing the existing controller for the
original plant (without sensor faults) to continue to function normally even when a sensor fault
occurs. Robust sensor fault reconstruction and sensor compensation are also discussed in detail for systems with simultaneous sensor faults, input disturbances and output noises. Finally, numerical examples and simulations are given to illustrate the design procedures and demonstrate the efficiency of the approaches. The sensor fault considered may be in any form, and may even be
unbounded. As a result, the present work possesses a wide scope of applicability.

Item Type:	Article
Subjects:	H100 General Engineering
Department:	Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering
Depositing User:	Dr Zhiwei Gao
Date Deposited:	25 Oct 2012 15:40
Last Modified:	12 Oct 2019 19:06
URI:	http://nrl.northumbria.ac.uk/id/eprint/10008

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