计及温度变化的潜油直线电机结构优化  

Structure Optimization of Submersible Linear Motor Considering Temperature Variation

作　　者：付豪 吴尧辉[1] FU Hao;WU Yaohui(School of Electrical Engineering and Automation,Henan Polytechnic University,Jiaozuo 454000,China)

机构地区：[1]河南理工大学电气工程及其自动化学院,河南焦作454000

出　　处：《电机与控制应用》2022年第2期41-46,共6页Electric machines & control application

基　　金：国家自然科学基金项目(61340015);教育部协同育人项目(201701056027)。

摘　　要：潜油直线电机的工作环境温度随地层深度的变化而变化,电机次级端部和中部的温差大。为了减小温度变化对电机推力的影响,同时提高电机推力、降低推力波动,对电机的结构参数进行优化,以不同温度下的推力差值衡量温度变化对电机推力的影响。利用有限元分析软件Magnet建立电机的电磁模型,分析各个参数对不同温度下电机推力、推力波动和推力差值的影响,确定优化参数的数值范围。然后,采用响应曲面法分别构建100℃和220℃时推力和推力波动的数学模型,以100℃和220℃时推力函数之差的绝对值为这两个温度下推力差值的数学模型,通过多目标遗传算法得到电机最优的参数组合。最后对优化后的电机进行有限元仿真分析,验证了优化方案的有效性。The working environment temperature of the submersible linear motor changes with the depth of the stratum, and the temperature difference between the end and the middle of the motor secondary is large. In order to reduce the influence of temperature variation on motor thrust, increase motor thrust and reduce thrust ripple, the structural parameters of the motor are optimized. The thrust difference under different temperatures is used to measure the influence of temperature variation on motor thrust. The electromagnetic model of the motor is established by using the finite element analysis software Magnet, and the effects of various parameters on the motor thrust, thrust ripple and thrust difference at different temperatures are analyzed, and the numerical ranges of the optimized parameters are determined. Then, the mathematical models of thrust and thrust ripple at 100 ℃ and 220 ℃ are constructed respectively by response surface method. Taking the absolute value of the difference of thrust functions at 100 ℃ and 220 ℃ as the mathematical model of thrust difference, the optimal parameter combination of motor is obtained by multi-objective genetic algorithm. Finally, the finite element simulation analysis of the optimized motor verifies the effectiveness of the optimization scheme.

关 键 词：圆筒型永磁直线电机 温度变化 推力特性 响应面模型 多目标优化 

分 类 号：TM359.4[电气工程—电机]