某多管火箭武器射击密集度试验减少用弹量研究  被引量:1

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

在线阅读下载全文

作  者:于存贵[1] 梁晓扬[1] 朱志敏 

机构地区:[1]南京理工大学机械工程学院,江苏南京210094 [2]湖北江山重工有限责任公司,湖北襄阳441057

出  处:《兵工学报》2017年第6期1067-1074,共8页Acta Armamentarii

摘  要: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.

关 键 词:兵器科学与技术 多管火箭炮 虚拟样机仿真 多岛遗传算法 非满管试验方法 密集度 等起始扰动偏差 

分 类 号:TJ393[兵器科学与技术—火炮、自动武器与弹药工程]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象