基于混合粒子群优化算法的火箭弹内弹道优化设计  

Interior Ballistic Optimization for Uncontrolled Rocket Projectile Based on Hybrid Particle Swarm Optimization Algorithm

作　　者：曹林 孟吉红 范匆 张翱 杨赵兵 邓聃 CAO Lin;MENG Jihong;FAN Cong;ZHANG Ao;YANG Zhaobing;DENG Dan(System Engineering Institute of Sichuan Aerospace,Chengdu 610100,China)

机构地区：[1]四川航天系统工程研究所,四川成都610100

出　　处：《弹道学报》2021年第3期57-62,共6页Journal of Ballistics

摘　　要：针对无控火箭弹的内弹道优化问题,以增加射程为目标,在发动机总冲恒定的约束条件下,分别建立了固体火箭发动机单室单推模式和单室双推模式的内弹道数学模型和优化模型,采用改进的混合粒子群优化算法,对固体火箭发动机的内弹道特性进行优化设计,求得了全局最优解。仿真结果表明,提出的混合粒子群优化算法具有较好的全局寻优能力和鲁棒性,是解决固体火箭发动机内弹道优化问题的有效方法;设计的优化策略将某型122 mm无控火箭弹的最远射程提高了3.75%~4.45%,仿真结果对无控火箭弹的总体设计具有一定的理论指导意义。Aiming at the internal ballistic optimization of solid rocket motor,the range of uncontrolled rocket projectile was taken as optimization objective,and the mathematical models of single-push and double-push internal ballistics were established respectively under the conditions of constant total impulse.An improved hybrid particle swarm optimization(HPSO)algorithm was proposed to optimize the internal ballistics,and the global optimal solution was obtained.Simulation results show that the proposed HPSO algorithm has strong searching ability and robustness,and the algorithm is an effective method to deal with the internal ballistic optimization of solid rocket motor.The proposed optimization strategy increases the range of the 122 mm uncontrolled rocket projectile by 3.75%-4.45%.The methods and conclusions are available for the design of uncontrolled rocket.

关 键 词：无控火箭弹 固体火箭发动机 内弹道优化 混合粒子群优化算法 

分 类 号：V37[航空宇航科学与技术—航空宇航推进理论与工程]