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Ballistic Wind Speed Identification Method Based on Hierarchical Optimization Algorithm

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Advances in Swarm Intelligence (ICSI 2019)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11656))

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Abstract

Wind has an important influence on the uncontrolled flight path of the aircraft. If the wind speed variation law within the flight altitude range cannot be obtained, it is difficult to accurately estimate the falling points of the conventional projectile and the modified projectile. In order to improve the accuracy of ballistic prediction, a method of using horizontal control algorithm to measure horizontal wind speed using uncontrolled ballistic measurement data and ammunition aerodynamic parameters is proposed. The theoretical trajectory is calculated according to the six-degree-of-freedom equations of motion of uncontrolled ammunition under windy conditions and compared with the measured ballistics data. The optimal objective function is established. The sequence quadratic programming method is used to estimate wind speed of the vertical and horizontal heights. The simulation results show that the proposed method can quickly and effectively estimate the horizontal wind speed at different heights and directions.

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Correspondence to Liu Jianwei .

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Yafei, W., Jianwei, L., Pengfei, L. (2019). Ballistic Wind Speed Identification Method Based on Hierarchical Optimization Algorithm. In: Tan, Y., Shi, Y., Niu, B. (eds) Advances in Swarm Intelligence. ICSI 2019. Lecture Notes in Computer Science(), vol 11656. Springer, Cham. https://doi.org/10.1007/978-3-030-26354-6_26

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  • DOI: https://doi.org/10.1007/978-3-030-26354-6_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-26353-9

  • Online ISBN: 978-3-030-26354-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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