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Zbl 1128.93009
Yan, Xing-Gang; Edwards, Christopher
Sensor fault detection and isolation for nonlinear systems based on a sliding mode observer. (English)
[J] Int. J. Adapt. Control Signal Process. 21, No. 8-9, 657-673 (2007). ISSN 0890-6327

Summary: 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.

MSC 2000:: *93B07 Observability
93C10 Nonlinear control systems
93C41 Control problems with incomplete information
93B17 System transformation

Keywords: fault detection and isolation; sliding modes; nonlinear observers

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