Sensor fault detection and isolation for nonlinear systems based on a sliding mode observer. (English) Zbl 1128.93009

Yan, Xing-Gang; Edwards, Christopher

Int. J. Adapt. Control Signal Process. 21, No. 8-9, 657-673 (2007).

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:

93B07	Observability
93C10	Nonlinear systems in control theory
93C41	Control/observation systems with incomplete information
93B17	Transformations

Keywords:

fault detection and isolation; sliding modes; nonlinear observers

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