Sensor redundancy based FDI using an LPV sliding mode observer

Abstract

SUMMARYIn this paper, a linear parameter varying (LPV) sliding mode sensor fault detection and isolation (FDI) scheme is proposed wherein knowledge of the measurement redundancy is utilised to achieve FDI in multiple channels simultaneously. Such a situation is common in some state-of-the-art aircraft fault diagnosis systems where information is generally/mainly measured based on triplex redundancy. The scheme proposed in this paper is based on an LPV sliding mode observer and exploits the so-called equivalent output error injection signal to create estimates of the measurement faults. In the case of sensor measurement redundancy, and where there exists a fault free (but unknown) sensor amongst the set of measurements, the fault reconstruction performance of the observer can be improved by isolating and using the output error injection signal associated with the fault free redundant sensor. Simulation results using the RECONFIGURE benchmark model demonstrate the effectiveness of the scheme.

Certainty equivalence-based robust sliding mode control strategy and its application to uncertain PMSG-WECS

“…It either counteracts the fault with efficient robustness by using a fixed gain controller or implements a fast dynamic compensation control input. Regarding WECS, the robust control techniques used in the literature are signal-based approach [ 29 ], hardware redundancy method [ 30 ], data-driven techniques [ 31 ], Barrier function-based adaptive non-singular sliding mode control approach [ 32 ], fractional-order sliding mode control technique [ 33 ], convolution neural network method [ 34 ], fuzzy method [ 35 ], global sliding mode control approach [ 36 ] and sliding mode observer method [ 37 , 38 ]. Using these techniques, the information on the uncertainty, that occurred in PMSG-WECS, is obtained, which is then adjusted by the designed control law.…”