Sensor fault detection and isolation for nonlinear systems based on a sliding mode observer
Yan, X-G; Edwards, Christopher
Date: 23 May 2007
Journal
International Journal of Adaptive Control and Signal Processing
Publisher
Wiley
Publisher DOI
Abstract
In this paper, a sensor fault detection and isolation scheme for nonlinear systems is considered. A nonlinear diffeomorphism is introduced to explore the system structure and a simple filter is presented to 'transform' the sensor fault into a pseudo-actuator fault scenario. A sliding mode observer is designed to reconstruct the sensor ...
In this paper, a sensor fault detection and isolation scheme for nonlinear systems is considered. A nonlinear diffeomorphism is introduced to explore the system structure and a simple filter is presented to 'transform' the sensor fault into a pseudo-actuator fault scenario. A sliding mode observer is designed to reconstruct the sensor fault precisely if the system does not experience any uncertainty, and to estimate the sensor fault when uncertainty exists. The reconstruction and estimation signals are based only on available information and thus can be implemented online. Finally, a mass-spring system is used to illustrate the approach. Copyright ©2007 John Wiley & Sons, Ltd.
Engineering
Faculty of Environment, Science and Economy
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