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A Class of Nonlinear Unknown Input Observer for Fault Diagnosis: Application to Fault Tolerant Control of an Autonomous Spacecraft

Abstract : In this paper, the problem of Nonlinear Unknown Input Observer (NUIO) based Fault Detection and Isolation (FDI) scheme design for a class of nonlinear Lipschitz systems is studied. The proposed FDI method is applied to detect, isolate and accommodate thruster faults of an autonomous spacecraft involved in the rendezvous phase of the Mars Sample Return (MSR) mission. Considered fault scenarios represent fully closed thruster and thruster efficiency loss. The FDI scheme consists of a bank of NUIOs with adjustable error dynamics, a robust fault detector that is based on judiciously chosen frame and an isolation logic. The bank of observers is in charge of confining the fault to a subset of possible faults and the isolation logic makes the final decision about the faulty thruster index. Finally, a thruster fault is accommodated by re-allocating the desired forces and torques among the remaining healthy thrusters and closing the associated thruster valve. Monte Carlo results from "high-fidelity" MSR industrial simulator demonstrate that the proposed fault tolerant strategy is able to accommodate thruster faults that may have effect on the final rendezvous criteria.
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https://hal.inria.fr/hal-00989423
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Robert Fonod, David Henry, Catherine Charbonnel, Eric Bornschlegl. A Class of Nonlinear Unknown Input Observer for Fault Diagnosis: Application to Fault Tolerant Control of an Autonomous Spacecraft. 10th UKACC International Conference on Control, United Kingdom Automatic Control Council (UKACC), Jul 2014, Loughborough, United Kingdom. pp.19-24, ⟨10.1109/CONTROL.2014.6915108⟩. ⟨hal-00989423v3⟩

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