系统仿真学报 ›› 2021, Vol. 33 ›› Issue (4): 918-926.doi: 10.16182/j.issn1004731x.joss.19-0641

• 仿真模型/系统置信度评估技术 • 上一篇    下一篇

基于PSO-LSSVM的反舰导弹自控弹道仿真

邵诚1, 孙宏远1, 张林2   

  1. 1.大连理工大学 控制科学与工程学院,辽宁 大连 116024;
    2.海军大连舰艇学院 导弹与舰炮系,辽宁 大连 116018
  • 收稿日期:2019-12-09 修回日期:2020-01-20 出版日期:2021-04-18 发布日期:2021-04-14
  • 作者简介:邵诚(1958-),男,博士,教授,研究方向为复杂系统建模与优化控制。E-mail:cshao@dlut.edu.cn

Simulation of Anti-ship Missile Automatic Control Section Trajectory Based on PSO-LSSVM

Shao Cheng1, Sun Hongyuan1, Zhang Lin2   

  1. 1. School of Control Science and Engineering, Dalian University of Technology, Dalian 116024, China;
    2. Department of Missile and Shipborne Gun, Dalian Naval Academy, Dalian 116018, China
  • Received:2019-12-09 Revised:2020-01-20 Online:2021-04-18 Published:2021-04-14

摘要: 反舰导弹弹道仿真模型不能满足“红蓝”对抗仿真推演需求,基于外场实测数据的反舰导弹弹道建模将成为满足仿真推演需求的一种新方法。以典型反舰导弹为例,提出基于外场数据的导弹自控段弹道建模及仿真方法对外场数据进行分析,使用最小二乘多项式拟合导弹速度时间曲线。使用粒子群优化的最小二乘支持向量机(Particle Swarm Optimization-Least Squares Support Vector Machine, PSO-LSSVM)建模。经过校核和验证,模型有较高的可信度,对作战仿真推演具有很大参考价值。

关键词: 反舰导弹, 外场数据, 弹道仿真, 粒子群优化的最小二乘支持向量机

Abstract: The anti-ship missile trajectory simulation model cannot meet requirements of the “red and blue” confrontation simulation deduction. Trajectory modeling of anti-ship missiles based on field data will be a new method. Taking a typical anti-ship missile as an example, a trajectory modeling and simulation method of the missile self-control section based on field data is proposed. The field data is analyzed and the least square polynomial method is used to fit the missile velocity-time curve. Particle Swarm Optimization Least Square Support Vector Machine (PSO-LSSVM) is used to model. The verified and validated show the model has high credibility and great reference value for operational simulation deduction.

Key words: anti-ship missile, field data, trajectory simulation, PSO-LSSVM(Particle Swarm Optimization- Least Squares Support Vector Machine)

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