基于粒子群优化算法的线圈系统设计
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引用本文:刘 柳,刘胜道,何保委.基于粒子群优化算法的线圈系统设计[J].计算技术与自动化,2021,(3):84-87
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刘 柳,刘胜道,何保委 (海军工程大学 电气工程学院湖北 武汉 430033) 
中文摘要:采用磁变模拟法,模拟舰艇在海洋上航行进行旋转和摇摆,在地磁场的作用下产生的涡流磁场,来实现对舰艇涡流磁场的测量。为了更精确地模拟地球磁场,首先需要创造一个均匀度相对较高的磁场空间。基于此目标,采用粒子群优化算法,以线圈系统的均匀度为目标函数,通过迭代的方式,对线圈系统的位置参数和匝数参数进行优化计算找到最优解。依据最优解,结合实验场地的特点和实际线圈系统的搭建情况,对线圈系统产生的磁场的均匀度进行了模拟仿真,建立了一个在中心区域均匀度高于95%的相对均匀的磁场空间。
中文关键词:涡流磁场测量  磁变模拟法  均匀度  粒子群算法
 
Design of Coil System Based on Particle Swarm Optimization Algorithm
Abstract:The magnetic variation simulation method is used to simulate the eddy current magnetic field generated by the geomagnetic field when the ship is sailing on the ocean, rotating and swaying, to realize the measurement of the eddy current magnetic field of the ship. In order to simulate the earth's magnetic field more accurately, it first needs to create a magnetic field space with relatively high uniformity. Based on this goal, this paper adopts the particle swarm optimization algorithm, and takes the uniformity of the coil system as the objective function. Through the iterative method, the position parameter and the number of turns of the coil system are optimized to find the optimal solution. Based on the optimal solution, combined with the characteristics of the experimental site and the actual construction of the coil system, the uniformity of the magnetic field generated by the coil system was simulated and a relatively uniform magnetic field with a uniformity higher than 95% in the central area was established.
keywords:eddy current magnetic field measurement  magnetic variation simulation method  uniformity  particle swarm optimization algorithm
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