基于改进粒子群优化算法的近炸引信最佳炸高计算方法

doi:10.3969/j.issn.1000-1093.2021.05.004

摘要/Abstract

摘要： 针对近炸引信适时起爆战斗部关系到对目标有效攻击乃至高效毁伤的问题，提出研究引信与战斗部配合的最优关系计算方法。建立引信近炸时战斗部威力数学模型，依据粒子群优化算法分析相关参数之间的关系；利用欧拉距离法对惯性权重进行动态更新，得到改进粒子群优化算法，将其应用于数学模型中，获得引信与战斗部配合威力计算模型。通过仿真实验得出杀伤面积与引信近炸时炸高、弹丸落角的关系，确定引信与战斗部配合最佳威力的条件，计算最大杀伤面积、90%杀伤面积对应区间和对应炸高。结果表明：该方法是可行和有效的，比传统方法计算最大杀伤面积精度更高，比粒子群优化算法收敛速度更快，更能满足靶场试验和实战化射击对计算速度的需求。

关键词: 近炸引信, 杀伤面积, 落角, 粒子群优化

Abstract: The timely detonation of warhead with proximity fuze is related to whether it can effectively attack and destroy a target. The optimal coordination relationship of fuze and warhead is proposed. A mathematical model of warhead power is established. The relationship between related parameters is analyzed using the particle swarm optimization algorithm, and the inertia weight is dynamically updated using the Euler distance method. An improved particle swarm optimization algorithm was presented and applied to the mathematical model to obtain the calculation model of warhead power in fuze-warhead coordination. Through simulation experiments, the relationship among lethal area, burst height and falling angle was obtained, the best power conditions for fuze-warfare coordination were determined, and the maximum lethal area, the corresponding interval of 90% lethal area and the corresponding burst height were calculated. The results show that the proposed method has higher calculation accuracy of the maximum lethal area than the traditional method, and has faster convergence speed than the particle swarm optimization algorithm, which can better meet the speed calculation requirements for the range test and tactical fied firing.

Key words: proximityfuze, lethalarea, fallingangle, particleswarmoptimization

中图分类号:

TJ434.1

赵新，纪永祥，罗熙斌，刘社锋，宁小磊. 基于改进粒子群优化算法的近炸引信最佳炸高计算方法[J]. 兵工学报, 2021, 42(5): 924-929.

ZHAO Xin, JI Yongxiang, LUO Xibin, LIU Shefeng, NING Xiaolei. Computation Method for the Optimal Burst Height of Proximity Fuze Based on Improved Particle Swarm Optimization Algorithm[J]. Acta Armamentarii, 2021, 42(5): 924-929.

参考文献［1］

［1］

韩静茹,吴炎烜,杨喆,等.针对机动目标的防空导弹引战配合建模与仿真[J].兵工学报,2017,38(增刊1):200-204.HAN J R, WU Y X, YANG Z, et al. Modeling and simulation of fuze-warhead matching of air-defense missile for mobile target[J]. Acta Armamentarii, 2017,38(S1): 200-204. (in Chinese)[2］马永志,李其祥,罗坤,等.杀伤榴弹杀伤面积的计算及影响因数分析[J].弹箭与制导学报,2005,25(2):346-348.MA Y Z, LI Q X, LUO K, et al. Calculation on casualty area of HE and analysis on influential factors[J]. Journal of Projectiles, Rockets, Missiles and Guidance,2005, 25(2): 346-348. (in Chinese)[3］张玉琤.近炸引信设计原理[M].北京理工大学出版社,1996.ZHANG Y J. Design principle of proximity fuze[M]. Beijing Institute of Technology Press,1996. (in Chinese)[4］李超,李向东,陈志斌,等.前向增强杀伤榴弹对人员目标杀伤威力分析[J].兵工学报,2014,35(7):1119-1123.LI C, LI X D, CHEN Z B, et al. Lethality of forward enhanced lethal HE projectile against personnel targets[J].Acta Armamentarii,2014, 35(7): 1119-1123. (in Chinese)[5］王树山,韩旭光,王新颖.杀伤爆破弹综合威力评估方法与应用研究[J].兵工学报,2017,38(7):1249-1254.WANG S S, HAN X G, WANG X Y. Research on evaluation method of comprehensive power of high explosive warhead and its application[J]. Acta Armamentarii,2017, 38(7):1249-1254. (in Chinese)[6］付建平,郭光全,冯顺山,等. 杀爆战斗部对地面目标毁伤威力的评估方法及应用[J].兵工学报,2016,37(增刊1):7-12.FU J P, GUO G Q, FENG S S, et al. Damage assessment method and application of blast-fragmentation warhead against ground target[J]. Acta Armamentarii, 2016, 37(S1): 7-12. (in Chinese)[7］郭光全,郭子云,雷文星,等. 杀爆战斗部动态破片威力场分布规律研究[J].中北大学学报（自然科学版）,2018,39(4):408-414. GUO G Q, GUO Z Y, LEI W X, et al. Study on the distribution law of dynamic fragment power field of the blast and fragmentation warhead[J]. Journal of North University of China(Natural Science Edition),2018, 39(4):408-414. (in Chinese)[8］ TEO L, HOOCK J B, EMILIANO N P, et al. Accelerated optimization methods for force-field parametrization in battery electrode manufacturing modeling[J]. Batteries & Supercaps,2020, 3(8): 721-730.[9］ CHEN J, MARRANI H I. An efficient new hybrid ICA-PSO approach for solving large scale non-convex multi area economic dispatch problems[J]. Journal of Electrical Engineering & Technology,2020,23(4): 1127-1145.[10］ DUA M, AGGARWAL R K, BISWAS M. Optimizing integrated features for Hindi automatic speech recognition system[J]. DE GRUYTER, 2018,25(1):1-18.[11］ SAJWAN N I. SHARMA A. KUMAR L, et al. Performance of multiplierless FIR filter based on directed minimal spanning tree: a comparative study[J]. Circuits, Systems, and Signal Processing, 2020, 39：5776-5800.[12］ LU X J, LI H X, YUAN X. PSO-based intelligent integration of design and control for one kind of curing process[J]. Journal of Process Control, 2010,20(10): 1116-1125.[13］黄江平,程绍榕.改进粒子群算法的轨道列车节能控制优化[J].华东交通大学学报,2020,37(2):56-63.HUANG J P, CHENG S R. Study on energy-saving control of railway train based on improved PSO[J]. Journal of East China Jiaotong University,2020, 37(2):56-63. (in Chinese)[14］夏红娟,崔占忠,周如江. 近感探测与毁伤控制总体技术[M]. 北京：北京理工大学出版社,2019.XIA H J, CUI Z Z, ZHOU R J. Overall technology of proximity detection and damage control[M]. Beijing: Beijing Institute of Technology Press,2019. (in Chinese)[15］沈显君.自适应粒子群优化算法及其应用[M].北京：清华大学出版社,2015.SHEN X J. Adaptive particle swarm optimization algorithm and its application[M]. Beijing:Tsinghua University Press, 2015. (in Chinese)［16］李士勇,李研,林永茂.智能优化算法与涌现计算［M］ .北京：清华大学出版社,2019.LI S Y, LI Y, LIN Y M. Inteligent optimization algorithms and emergent computation［M］. Beijing:Tsinghua University Press, 2019. (in Chinese)第42卷第5期2021 年5月兵工学报ACTA ARMAMENTARIIVol.42No.5May 2021

[1]	郭志明，王迪，庞婷，李娟，赵丹，杨建新. 面向装备体系联合检验的指数分布定时截尾方案优化研究[J]. 兵工学报, 2022, 43(S1): 203-207.
[2]	陈军，张岳，陈晓威，佟龑. 基于模糊灰色认知图的复杂战场智能态势感知建模方法[J]. 兵工学报, 2022, 43(5): 1093-1106.
[3]	许晓东，唐圣金，谢建，于传强，王凤飞，韩洋洋. 随机退化应力作用下设备剩余寿命预测方法[J]. 兵工学报, 2022, 43(3): 712-719.
[4]	唐辉，焦志刚，赵东志，赵丽俊，朱小平. 爆炸反应装甲作用场下近炸引信作用距离计算模型[J]. 兵工学报, 2021, 42(11): 2321-2326.
[5]	潘蕾，李赞，李向阳，张峰干. 基于双向协作中继网络的物理层安全技术研究[J]. 兵工学报, 2020, 41(1): 102-107.
[6]	邓青，薛青，罗佳. 基于支持向量机的坦克驾驶模拟训练结果分析[J]. 兵工学报, 2019, 40(9): 1953-1960.
[7]	文学，谭建平，刘溯奇，李新和. 大直径回转件圆度检测的测点优化技术研究[J]. 兵工学报, 2018, 39(6): 1205-1214.
[8]	甘霖, 张合. 光-磁复合方位动态探测概率密度统计分布[J]. 兵工学报, 2018, 39(12): 2338-2344.
[9]	郭琨，杨树兴. 考虑导弹1阶驾驶仪的近似最小加速度峰值导引律[J]. 兵工学报, 2018, 39(1): 83-93.
[10]	张体广，张发平，阎艳，吴迪，王戈，郭少伟. 基于数据配准的零件精密装配最佳接触状态研究[J]. 兵工学报, 2018, 39(1): 127-136.
[11]	管军，周家胜，易文俊，刘世平，常思江，史继刚. 基于自适应混沌变异粒子群优化算法的旋转弹丸气动参数辨识[J]. 兵工学报, 2017, 38(1): 73-80.
[12]	张民，陈亮，陈欣. 基于简便约束粒子群优化算法的空空导弹μ-PID控制器设计[J]. 兵工学报, 2017, 38(1): 89-96.
[13]	彭鹏菲，于钱，李启元. 基于优先排序与粒子群优化的装备保障任务规划方法[J]. 兵工学报, 2016, 37(6): 1082-1088.
[14]	帅勇，宋太亮，王建平，沈洪. 一种改进的装备保障能力并联预测模型[J]. 兵工学报, 2016, 37(6): 1089-1095.
[15]	张春妍，宋建梅，侯博，张民强. 带落角和时间约束的网络化导弹协同制导律[J]. 兵工学报, 2016, 37(3): 431-438.