基于遗传算法的同步感应线圈发射装置参数优化  

Design optimization of synchronous induction coil electromagnetic launcher based on genetic algorithm

作　　者：郭赟[1] 鲁军勇[1] 关晓存[1] 张晓[1] 谭赛[1] 

机构地区：[1]海军工程大学舰船综合电力技术国防科技重点实验室,武汉430033

出　　处：《强激光与粒子束》2014年第11期260-266,共7页High Power Laser and Particle Beams

基　　金：国家自然科学基金项目(51207162)

摘　　要：发射速度和能量转换效率是同步感应线圈型电磁发射装置(SICEML)最重要的两项指标。驱动线圈和电枢的结构参数、驱动线圈匝数以及电枢初始触发位置都会对这两项指标产生影响。以上述参数为变量,以发射速度和能量转换效率之积为目标函数,引入遗传算法对单级SICEML参数进行了优化设计,并利用有限元软件进行了仿真验证。结果表明:在储能与发射装置总体体积不变的前提下,优化后的系统效率由5.38%提高到13.6%,出口速度由38m/s提高到61m/s,系统性能得到明显改善。利用单级SICEML样机进行了堵驻试验,结果与仿真结果吻合较好,验证了本文提出的遗传算法的可行性。Muzzle velocity and system efficiency are two of the most important characteristics for synchronous induction coil electromagnetic launchers （SICEMLs）,which could be affected by the structural parameters of the driving coil and the armature,the number of coil turns,and the initial position of the armature.To obtain the optimal parameters,genetic algorithm was introduced into the design process of a single stage SICEML in this paper.The optimization was derived based on the performance index defined as the product of the muzzle velocity and the system efficiency and the results were validated through the simulation by the finite element software Ansoft.The research results show that the system performance has improved effectively under the same storage power supply and total volume of the launcher：the system efficiency was increased from 5.38% to 13.6% and the muzzle velocity was increased from 38 m/s to 61 m/s.A single SICEML prototype was tested in blocked state and the test results show a good agreement with the simulation.

关 键 词：发射速度 能量转换效率 同步感应线圈型电磁发射装置 遗传算法 有限元 

分 类 号：TM303[电气工程—电机]