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Parameters Optimization of Synchronous Induction Coilgun Based on Ant Colony Algorithm

机译:基于蚁群算法的同步感应线圈枪参数优化

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Electrical-to-kinetic energy conversion efficiency of synchronous induction coilguns (SICG) is the main limiting factor of its development. In the system of SICG, the change of any electromagnetic parameters can directly or indirectly affects the electrical-to-kinetic energy conversion efficiency. In order to improve the electrical-to-kinetic energy conversion efficiency of SICG, the electromechanical model of SICG was built at first in this paper. Then, the structural parameters of SICG with 60-mm caliber were optimized with ant colony optimization algorithm. The electrical-to-kinetic energy conversion efficiency of the system was regarded as the target function, while the center-to-center space between the drive coil and the armature, and the structural parameters of the drive coil and the armature were regarded as variables. Results of research indicated that the electrical-to-kinetic energy conversion efficiency of the system was improved through parameter optimization. In order to validate the results of parameter optimization, an experiment was carried out with the first stage of SICG.
机译:同步感应线圈枪(SICG)的动能转换效率是其发展的主要限制因素。在SICG系统中,任何电磁参数的变化都可以直接或间接影响电动能量的转换效率。为了提高SICG的动能转换效率,本文首先建立了SICG的机电模型。然后,采用蚁群优化算法对口径为60mm的SICG的结构参数进行优化。以系统的动能转换效率为目标函数,以驱动线圈与电枢之间的中心距,驱动线圈与电枢的结构参数为变量。研究结果表明,通过参数优化提高了系统的动能转换效率。为了验证参数优化的结果,对SICG的第一阶段进行了实验。

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