Enhanced adaptive unscented Kalman filter for reaction wheels

Abstract

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.