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Operation-aware ISHM for environmental control and life support in deep space habitants

Abstract:

This paper aims to develop an Integrated System Health Management(ISHM) utilizing advanced Automated Contingency Management(ACM) framework for life support systems in deep space habitat. The Water Recycling System (WRS), which collect condensate in the air, used water, and recycle them into the drinkable water, is employed as a case-study. To accommodate the faults in the WRS different fault modes, both discrete faults, and continuous faults are injected into the WRS system. Faults are detected by a Lebesgue sampling based Extended Kalman filter approach. With fault state estimation, an objective function is defined to optimize the energy consumption and maintain the WRS in a degraded but acceptable operating condition. A series of simulations are conducted to demonstrate the effectiveness of the proposed method. The ACM strategy developed in this research is application agnostic and can be applied more generally to other critical systems.