Initial rapid coarse-alignment algorithm based on cross-correlation for vibration disturbance mitigation

In this paper, we propose a rapid coarse alignment algorithm for mitigating vibratory disturbances, via employment of cross-correlation. The proposed algorithm analyzes the frequency of vibration disturbance due to the engine of a helicopter using a cross-correlation technique to cope with variable frequencies, and determines the initial alignment time by grasping the period. While the existing methods, such as maintaining a long initial alignment time or applying a filter, can passively remove vibration noise, the proposed method can actively cancel the vibration noise by adjusting the data acquisition time required for the initial alignment. Through this method, the sinusoidal time varying vibration can be actively canceled in a short time, making rapid initial alignment possible. The proposed algorithm was verified through Monte Carlo simulation for several situations. © ICROS 2021.