Sliding Mode Integral Observers for Sensor Faults Detection and Isolation in Nonlinear Systems

In this paper, a new approach to sensor faults detection and isolation for a class of nonlinear systems is proposed. Through introducing a new state variable, an augmented system can be constructed to treat sensor faults as actuator faults in the form to avoid amplification of sensor faults. Then a...

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Bibliographic Details
Published in2007 IEEE International Conference on Control and Automation pp. 147 - 151
Main Authors Ke Zhang, Shousong Hu, Bin Jiang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2007
Subjects
Actuators
Automation
Educational institutions
Fault detection
Nonlinear control systems
Nonlinear systems
Observers
Sensor systems
Sliding mode control
Uncertainty
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Summary:In this paper, a new approach to sensor faults detection and isolation for a class of nonlinear systems is proposed. Through introducing a new state variable, an augmented system can be constructed to treat sensor faults as actuator faults in the form to avoid amplification of sensor faults. Then a bank of sliding mode integral observers (SMIO) are utilized to isolate all possible sensor faults and the so-call equivalent output error injection signals estimate them. Based on the Lyapunov stability theory, a sufficient condition for sensor faults isolation is derived in the form of linear matrix inequality (LMI). Finally, a simulation example is presented to show that the unknown sensor faults are detected and isolated accurately, and the equivalent output error injection signals can estimate the sensor fault signal with high precision.
ISBN:9781424408177
1424408172
ISSN:1948-3449
1948-3457
DOI:10.1109/ICCA.2007.4376336