Rapid Transfer Alignment for Airbone Smart Bomb Based on Separate Estimation of Weak Observable State

doi:10.3969/j.issn.1000-1093.2018.06.010

Abstract

Abstract: In order to solve safety the problem of aircraft due to the long transfer alignment of airborne smart bomb, the two-point estimation algorithm for MEMS gyro drift and the fast transfer alignment method based on the separate estimation of weak observable state are presented. The proposed estimation algorithm is used to separately estimate he weakly observable states of gyro zero bias based on the observability analysis of tof velocity and attitude matching method presented by Kain, et al^［1］. Because of the influence of varying parameters of separate estimator, the variational Bayesian adaptive Kalman filtering algorithm is adopted to adjust the twice transfer alignment. The simulated and experimental results show that the estimating accuracy of the two-point estimation algorithm is at least 88% in 2.5 seconds, and the corresponding transfer alignment time is reduced to 8 seconds.Key

Key words: airborneweapon, smartbomb, transferalignment, observability, gyrodrift

CLC Number:

TJ765.3⁺31

MI Chang-wei， ZHAO Hong-yu， WU Xu， SONG Li-ping. Rapid Transfer Alignment for Airbone Smart Bomb Based on Separate Estimation of Weak Observable State[J]. Acta Armamentarii, 2018, 39(6): 1109-1116.

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第39卷第6期
2018 年6月兵工学报ACTA
ARMAMENTARIIVol.39No.6Jun.2018

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