摘要
针对传统激光制导炸弹弹道拟合方法计算复杂而拟合精度低的缺陷和不足,提出基于遗传规划的激光制导炸弹弹道拟合方法。首先建立激光制导炸弹六自由度模型,求解多组弹道数据。然后采用最大最小值方法将弹道数据归一化,并建立合理的适应度评价函数、函数集和终止符集。最后运用遗传规划算法对弹道数据进行仿真拟合。结果表明,该方法的计算复杂度低且拟合精度高,符合实际工程需求。
The traditional laser-guided bomb ballistic trajectory fitting methods have the disadvantages of complex calculation and lower fit- ting precision. A method of ballistic trajectory fitting of laser-guided bomb based on genetic programming was presented. Firstly, the 6- DOF model of laser-guided bomb was established to solve the multiple sets of trajectory data. Then, the data was normalized by the maxi- mum minimum value method, and the reasonable fitness evaluation function, function sets and terminator sets were established. Finally, the genetic programming algorithm was used to simulate and fit the trajectory data, and the results show that the method has low computing complexity and high fitting precision, and meets the demand of actual projects.
出处
《弹箭与制导学报》
CSCD
北大核心
2014年第4期1-4,共4页
Journal of Projectiles,Rockets,Missiles and Guidance
基金
航空科学基金(2011553021)
西北工业大学基础研究基金(JC20110222)资助
关键词
激光制导炸弹
弹道拟合
遗传规划
laser-guided bomb
ballistic trajectory fitting
genetic programming