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Enhanced adaptive unscented Kalman filter for reaction wheels

This paper presents a methodology for improving the fault detection scheme of reaction wheels as actuators onboard satellites. An enhanced adaptive unscented Kalman filter (AUKF) is used, based on a generic adaptive Kalman filter combined with a particle swarm optimization for fault detection. Results show superior performance compared with a generic AUKF.