Robust fault detection and isolation in stochastic systems

Abstract

This article outlines the formulation of a robust fault detection and isolation (FDI) scheme that can precisely detect and isolate simultaneous actuator and sensor faults for uncertain linear stochastic systems. The given robust fault detection scheme based on the discontinuous robust observer approach would be able to distinguish between model uncertainties and actuator failures and therefore eliminate the problem of false alarms. Since the proposed approach involves estimating sensor faults, it can also be used for sensor fault identification and the reconstruction of true outputs from faulty sensor outputs. Simulation results presented here validate the effectiveness of the proposed robust FDI system.

Keywords:

• robust fault detection
• fault detection filter
• uncertain stochastic systems
• multiple actuator and sensor faults

Acknowledgements

This work was partially supported by National Aeronautics and Space Administration through the Langley Aerospace Research Summer Scholars (LARSS) Program. The author wishes to thank Dr Irene M. Gregory, Senior Research Engineer at NASA Langley Research Center (LaRC), for her guidance and support during his stay at NASA LaRC as a research scholar. Author would also like to acknowledge the anonymous reviewers for their valuable comments and constructive criticism.