摘要
潜油电机作为潜油电泵机组的重要组成部分,其性能指标尤为重要。由于潜油电机细长的结构特征,导致在槽型设计方面不同于普通的异步电动机。基于田口法,在保证潜油电机定转子外形尺寸、温升条件、机械强度不变的情况下,通过确定6个槽型优化因子(定子斜肩角、定子槽高、定子槽宽、转子斜肩角、转子槽高和转子槽宽)与4个优化目标(电机效率、功率因数、最大转矩倍数及启动转矩倍数),建立潜油电机槽型优化目标正交矩阵,降低了仿真次数。借助于有限元法与电磁设计相结合的场路分析方法,得出不同设计方案的性能指标。通过统计学方法确定各优化因子对优化目标的影响关系和影响程度,确定最终优化方案。最后,以143系列210 kW的潜油电机为例,对其槽型进行优化设计,验证该方法的可行性。
The submersible motor is an important part of the submersible electric pump unit, and its performance index is particularly important. Due to its slender structural features, it is different from ordinary asynchronous motors in channel design. Based on the Taguchi method, under the condition that the outer dimensions of the stator and rotor of the submersible motor, temperature rise conditions, and mechanical strength remain unchanged, six channel optimization factors(stator oblique shoulder angle, stator slot height, stator slot width, rotor oblique shoulder angle, rotor slot height and rotor slot width) with four optimization target(motor efficiency, power factor, maximum torque ratio and start torque multiples). The orthogonal matrix of the groove optimization target of the submersible motor was established and the simulation times were reduced effectively. By means of the field path analysis method combining finite element method and electromagnetic design, the performance indexes of different design schemes were obtained. The influence relationship and influence degree of each optimization factor on the optimization goal was determined by statistical method, and the final optimization scheme was determined. A 143 series 210 kW submersible motor was taken as an example to optimize its groove design and verify the feasibility of the method.
作者
金颢
张俊斌
高晓飞
潘雅缤
单彦魁
刘佳
JIN Hao;ZHANG Junbin;GAO Xiaofei;PAN Yabin;SHAN Yankui;LIU Jia(Shenzhen Branch,CNOOC China Limited,Shenzhen 518067,China;Daqing Oilfield Powerlift Pump Industry Co.,Ltd.,Daqing 163311,China)
出处
《石油矿场机械》
CAS
2022年第6期43-48,共6页
Oil Field Equipment
基金
中海油总公司科研项目“3000方大排量潜油电泵机组国产化应用研究”(YXKY-SXSH-2020-SZ-01)。
关键词
潜油电机
田口法
优化因子
优化目标
submersible motor
taguchi method
optimization factor
the optimization goal
