Optimization of Rotation Vector of Guided Projectile Attitude Based on Hermite Interpolation

doi:10.3969/j.issn.1000-1093.2018.10.020

Abstract

Abstract: The angular incremental extraction accuracy has a significant effect on the attitude resolving accuracy in the attitude algorithm of guided projectiles. A Hermite interpolation-based extraction algorithm of two-sample angular increment is presented, and the coefficient of Hermite interpolation formula is optimized further. Then a Hermite interpolation algorithm for two-sample angular increment extraction is proposed. In the cone dynamic environment, the proposed algorithm is compared with the Lagrange interpolation three-sample angular increment extraction algorithm. The results show that the accuracy of attitude estimation using the proposed algorithm is better than that of Lagrange interpolation. The optimization of the Hermite interpolation is more suitable for the actual situation of guided projectile attitude algorithm. The algorithm not only adapts to the high dynamic environment of projectile, but also reduces the sampling frequency of attitude updating under the same precision condition and reduces the requirement of navigation computer. Key

Key words: guidedprojectile, highdynamicconedynamicenvironment, rotationvector, angularincrementextraction, Hermiteinterpolation

CLC Number:

TJ413⁺.6

DENG Zhi-hong, WANG Jin-wen, SHANG Jian-yu, ZHANG Xiang. Optimization of Rotation Vector of Guided Projectile Attitude Based on Hermite Interpolation[J]. Acta Armamentarii, 2018, 39(10): 2056-2065.

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第39卷
第10期2018 年10月兵工学报ACTA
ARMAMENTARIIVol.39No.10Oct.2018

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