Frequency-weighted robust fault reconstruction using a sliding mode observer

Authors:
C. P. Tan;F. Crusca;M. Aldeen
Affiliations:
Monash University Malaysia, Petaling, Jaya, Malaysia;Monash University, Melbourne, Victoria, Australia;University of Melbourne, Parkville, Victoria, Australia
Venue:
Control and Intelligent Systems
Year:
2007

Citing 3
Cited 0

Fault diagnosis in dynamic systems: theory and application

Fault diagnosis in dynamic systems: theory and application
Sliding mode observers for fault detection and isolation

Automatica (Journal of IFAC)
Brief Sliding mode observers for detection and reconstruction of sensor faults

Automatica (Journal of IFAC)

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Abstract

This paper introduces a new method for the design of robust fault reconstruction filters. The method is based on shaping the map from disturbance inputs to the fault estimation error through frequency weighting functions and formulating the problem as a robust observer design where the input-output error map is minimized by solving a set of matrix inequalities. The authors consider a numerical example consisting of ten states, two known inputs, four measured outputs, one disturbance, and three faults. Through this example, they show that the frequency shaping renders far superior performance than existing conventional methods when properly incorporated in the observer design problem.