某多管火箭武器射击密集度试验减少用弹量研究

Research on the Rocket Consumption Reduction in Multiple Launch Rocket System Test

研究多管火箭炮非满管射击密集度试验方法及仿真技术,提出了一种新的减少多管火箭密集度试验用弹量的试验方法。基于虚拟样机的动力学仿真技术和多岛遗传算法(MIGA)理论,建立多管火箭炮发射动力学参数化仿真计算模型,将其集成在多学科优化设计软件ISIGHT框架中,采用MIGA作为优化控制策略,形成了基于等起始扰动偏差思想的多管火箭炮非满管装填射击密集度试验方案。对满管齐射和非满管连续射击方案的起始扰动和射击密集度进行仿真计算。仿真结果表明,两种方案起始扰动相同,系统密集度预测值满足F检验条件,证明提出的非满管装填射击密集度试验方案是完全可行的,形成的非满管连续射击密集度试验方案可减少试验用弹量41.7%.

The test method and simulation technology about the non-full loading firing dispersion for multiple launch rocket system （MLRS） are studied. A new method for reducing the rocket consumption in dispersion test of MLRS is presented. A parameterized simulation model of MLRS is established by use of the virtual-prototype-based dynamics simulation technology and multi-island genetic algorithm. The proposed model is integrated in the multidisciplinary optimization software ISIGHT. Based on the idea of e- qual initial disturbance deviation, a firing dispersion test method of a non-full loading MLRS is presented by using the multi island genetic algorithm as the optimization control strategy. The initial disturbance and firing dispersion are calculated via simulation in the case of full loading salvo and non-full loading continuous fire. The simulated results show that the two schemes have the same initial disturbance, and the system firing dispersion is satisfied with F test, which proves that the proposed firing dispersion test method with the non-full loading for MLRS is completely feasible. The rocket consumption in firing dispersion test of a MLRS can be decreased by 41.7% using the proposed non-full loading scheme.