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Firing Data Algorithm for Shipboard Gun Based on GSA

  • YAO Zhong ,
  • CHEN Chaoqian ,
  • WANG Rui ,
  • XU Baocheng
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  • Northwest Institute of Mechanical & Electrical Engineering, Shaanxi Xianyang 712099, China

Received date: 2020-04-02

  Online published: 2025-05-30

Abstract

In order to improve the efficiency of firing data for shipboard gun, a new firing data algorithm is presented based on gravitational search algorithm(GSA). Firstly, the mathematical model of six-degree-of-freedom for projectile motion is established. And the secant method is used to solve hit problem. Then, the firing data calculation is translated into the two-dimensional optimization problem, and particle population is generated around the initial angle which is estimated by the principle of rigid ballistic. The maximum mass particle is certainly the optimal solution which is the firing angle also. The simulation results show that compared with the algorithm based on dichotomy, this algorithm can effectively shorten the calculation time while ensuring the calculation precision, namely it has better real-time performance.

Cite this article

YAO Zhong , CHEN Chaoqian , WANG Rui , XU Baocheng . Firing Data Algorithm for Shipboard Gun Based on GSA[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2020 , 40(6) : 94 -97 . DOI: 10.15892/j.cnki.djzdxb.2020.06.022

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