摘要
同步感应线圈炮(Synchronous Induction Coilgun,SICG)的关键性能与其结构和电气的诸多参数紧密相关,合理的参数选择对SICG的设计仍是一项挑战。为提高设计效率,笔者使用改进的天牛须搜索算法(Beetle Antennae Search algorithm,BASA)以电枢速度为目标实现对SICG的参数优化,最后建立基于COMSOL Multiphysics的有限元模型,验证了电流丝法模型和改进BASA优化结果的准确性。与遗传算法相比,该算法能够有效提高计算效率。
The key performance of the Synchronous Induction Coilgun(SICG)is closely related to its structure and many electrical parameters.Reasonable parameter selection is still a challenge to the design of SICG.In order to improve design efficiency,the author uses an improved Beetle Antennae Search algorithm(BASA)to optimize the parameters of SICG with the goal of armature speed.Finally,a finite element model based on COMSOL Multiphysics is established to verify the current wire method.Model and improve the accuracy of BASA optimization results.Compared with genetic algorithm,this algorithm can effectively improve calculation efficiency.
作者
崇闯越
杨晓庆
邱云峰
CHONG Chuangyue;YANG Xiaoqing;QIU Yunfeng(College of Electronic Information,Sichuan University,Chengdu Sichuan 610065,China;Guizhou Aerospace Institute of Measuring and Testing Technology,Guiyang Guizhou 550009,China)
出处
《信息与电脑》
2021年第7期52-56,共5页
Information & Computer
基金
武器装备技术基础科研项目(项目编号:JZX7J20191201ZL0002)。
关键词
同步感应线圈炮
天牛须优化算法
电流丝法
Synchronous Induction Coilgun
Beetle Antennae Search Algorithm
current filament model
