节点文献
基于量子粒子群算法的惯性保险机构优化设计
Optimization Design of the Inertia Safety Mechanism Based on QPSO Algorithm
【摘要】 针对子母弹子弹引信的工作特点,根据引信设计要求和引信安全性设计准则,提出了一种新型的引信惯性保险机构.建立了引信惯性保险机构的数学模型,并利用量子粒子群算法对其设计参数进行了优化.通过运动学仿真模拟试验表明,引信惯性保险机构可以正常工作,验证了其设计原理的正确性.
【Abstract】 Aimed at the operation characteristics of cluster sub-munitions fuze,according to the requirements and standards of fuze safety design,a new inertia safety mechanism is put forward,and the mathematical model of mechanical motion is established.QPSO(quantum particle swarm optimization) is developed to optimize the fuze inertia safety mechanism.The results of simulation test indicate that the mechanism operates well and meets the requirements of fuze design.
【关键词】 优化设计;
引信;
量子粒子群优化算法;
惯性保险机构;
【Key words】 optimization design; fuze; quantum particle swarm optimization; inertia safety mechanism;
【Key words】 optimization design; fuze; quantum particle swarm optimization; inertia safety mechanism;
【基金】 国家部委预研项目(5140C9384029389C475)
- 【文献出处】 北京理工大学学报 ,Transactions of Beijing Institute of Technology , 编辑部邮箱 ,2009年11期
- 【分类号】TJ410.3
- 【被引频次】8
- 【下载频次】136