Robust fault reconstruction for linear parameter varying systems using sliding mode observers
International Journal of Robust and Nonlinear Control
This paper presents a robust fault detection and isolation scheme using a sliding mode observer based on a linear parameter varying system, with fault reconstruction capability. Both actuator and sensor fault reconstruction schemes are considered that possess robustness against a certain class of uncertainty and corrupted measurements. For actuator fault reconstruction, the input distribution matrix (associated with the actuators being monitored) is factorized into fixed and varying components. LMIs are used to design the key observer parameters in order to minimize the effect of uncertainty and measurement corruption on the fault reconstruction signal. The faults are reconstructed using the output error injection signal associated with the nonlinear term of the sliding mode observer. For sensor fault reconstruction, the idea is to reformulate the problem into an actuator fault reconstruction scenario so that the same design procedure can be applied. This is achieved by augmenting the original system with the filtered sensors being monitored. Simulations using a full nonlinear model of a large transport aircraft are presented and show good fault reconstruction performance.
Copyright © 2013 John Wiley & Sons, Ltd. This is the peer reviewed version of the following article: Robust fault reconstruction for linear parameter varying systems using sliding mode observers by Halim Alwi and Christopher Edwards in International Journal of Robust and Nonlinear Control, Volume 24, Issue 14, pages 1947–1968, 25 September 2014, which has been published in final form at DOI: 10.1002/rnc.3009. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving: http://olabout.wiley.com/WileyCDA/Section/id-820227.html#terms
Vol. 24 (14), pp. 1947 - 1968