计及损耗的混合励磁电机建模与硬件在环实时仿真系统

doi:10.19595/j.cnki.1000-6753.tces.191341

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摘要由于混合励磁电机在传统建模时很少考虑电机运行中的损耗,导致电机实时模型仿真与实验存在较大误差。为了解决这一问题,该文提出一种计及铁耗、铜耗以及永磁体损耗的混合励磁电机建模方法。应用神经网络建立混合励磁电机模型,并在此基础上加入损耗计算,从而得到一种计及损耗的混合励磁电机实时仿真模型。以12槽10极混合励磁开关磁链永磁电机为例,在dSPACE中搭建电机与逆变器模型,从而构成硬件在环仿真平台。实验结果表明,与未计及损耗的混合励磁电机模型相比,计及损耗的混合励磁电机相电流幅值的仿真精度在轻载与重载时,分别最大提高了5.7%和12.5%。

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	曹阳
	刘旭

关键词 ：混合励磁电机, 神经网络, 损耗模型, 硬件在环仿真

Abstract：Since the loss is rarely considered in the modelling of the hybrid-excited machine,the simulation results have large error compared with the experimental results.Therefore,taking into account iron loss,copper loss and PM loss,this paper proposes a modeling method for the hybrid-excited machine.Based on the model obtained by the neural network,the loss calculation is added in the real-time simulation model of hybrid-excited machine.By establishing the machine and inverter models in dSPACE,the Hardware-in-Loop (HIL) platform was built.A prototype of 12-slot 10-pole hybrid-excited switched flux permanent magnet machine is used to evaluate the accuracy of machine model considering the losses.The results show that compared with the model without the losses,the simulation accuracy of phase current amplitude of the model considering the losses is increased by 5.7% and 12.5% at light load and heavy load,respectively.

Key words： Hybrid-excited machine neural network loss model hardware-in-loop simulation

收稿日期: 2019-10-15

PACS:

TM351

基金资助:国家自然科学基金(51507045)、天津市自然科学基金(16JCYBJC42100)、河北省自然科学基金(E2018202252)、河北省人社厅(E2016100004)资助项目

通讯作者: 刘旭,男,1984年生,教授,博士生导师,研究方向为电机及其控制。E-mail:liuxu@hebut.edu.cn

作者简介: 曹阳,女,1993年生,博士研究生,研究方向为电机及其控制。E-mail:caoyang_hebut@163.com

引用本文:

曹阳, 刘旭. 计及损耗的混合励磁电机建模与硬件在环实时仿真系统[J]. 电工技术学报, 2020, 35(22): 4657-4665. Cao Yang, Liu Xu. Modeling Method for Hybrid-Excited Machine and Hardware-in-Loop Real-Time Simulation System with Accounting for Loss Calculation. Transactions of China Electrotechnical Society, 2020, 35(22): 4657-4665.

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