확장칼만필터를 이용한 자세제어용 모터의 수명예측

초록

Purpose: For advanced attitude control of the satellite, reaction wheels are used, which is actuated by the motor. Fault detection and prediction of Remaining Useful Life (RUL) of the motor is of great importance. This study aims to demonstrate health management of reaction wheel motor in satellites by estimating the RUL of the damping coefficient. Methods: Multi-scale Extended Kalman Filter (EKF) is employed using the data of input current and output velocity measured during the life test of the motor. The damping coefficient is taken as the health indicator, which is obtained by solving the micro EKF problem. To set threshold for the damping coefficient, degradation behavior of characteristic curve that evaluates the motor performance is used to correlate with the degradation of the damping coefficient. Results: RUL is predicted by the macro EKF problem, in which the RUL is found to get closer to the true value and its confidence interval becomes narrower as the cycle increases. Conclusion: The results suggest that the multi-scale EKF method can be a viable option for RUL prediction during the life test of motor.

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