DESIGN OF ROBUST FAULT DETECTION FILTERS FOR MULTIVARIABLE FEEDBACK SYSTEMS

A. Zolghadri, F. Castang, and D. Henry

Keywords

Robust fault detection, fault sensitivity, generalized structuredsingular value, linear matrix inequalities, multivariable feedbacksystems

Abstract

This paper presents a new and general scheme to design robust fault detection and isolation (FDI) filters for multivariable uncertain systems under feedback control. The design procedure simultaneously ensures robustness of the FDI output against disturbances and modelling errors, and nominal sensitivity to faults. Robust sensitivity of the residual signals is analyzed by means of a test based on the generalized structured singular value. The feedback controller is directly included in the design procedure, making the proposed approach very appealing in most practically relevant situations. Simulation results based on an engine failure scenario of the RCAM benchmark illustrate the potential of the proposed approach.

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