| 引用本文: | 杨 帆,王 星,陈 昊,等.一种具有快速磁链-转矩转换的开关磁阻电机简化磁链模型[J].电力系统保护与控制,2025,53(17):47-56. |
| YANG Fan,WANG Xing,CHEN Hao,et al.A simplified flux linkage model of switched reluctance motor with fast flux-torque conversion[J].Power System Protection and Control,2025,53(17):47-56 |
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| 摘要: |
| 针对电机运行过程中快速获取开关磁阻电机(switched reluctance motor, SRM)相磁链和相转矩较为困难的情况，提出了一种简化的SRM磁链模型。该模型可以快速准确地计算出电机的相磁链和相转矩。首先，在所提出的建模策略中采用不同的耦合系数 来拟合每个角度的磁链曲线，与低阶傅里叶分解法相比，有效地提高了磁链模型的精度。其次，针对电机在制造过程中受摩擦系数和测量误差影响产生的电机磁链数据不准确的问题，提出了一种基于电机加速度回路的补偿策略，以进一步提高电机磁链模型的精度。最后，在一台12/8的SRM上，对三阶傅里叶磁链模型和所提出的磁链模型在不同控制策略下获取的相电流波形进行了比较，验证了所提方法具有较高的建模精度。 |
| 关键词: 开关磁阻电机 磁链 转矩 耦合系数 傅里叶分解法 曲线拟合 |
| DOI：10.19783/j.cnki.pspc.247001 |
| 分类号: |
| 基金项目:江苏省科技计划专项资金(创新支撑计划国际科技合作/港澳台科技合作)项目资助(BZ2022014)；国家自然科学基金国际(地区)合作与交流项目资助—NSFC-RSF(中俄)(W2412064)；深圳市自然科学基金重点项目资助(JCYJ20220818100000001)；2022年度中国—中东欧国家高校联合教育项目资助(2022200) |
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| A simplified flux linkage model of switched reluctance motor with fast flux-torque conversion |
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YANG Fan1, 2, WANG Xing1, CHEN Hao1, 3, 4, GE Kai5, PAN Jianfei6, XU Lijun3
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1. International Joint Research Center of Central and Eastern European Countries on New Energy Electric Vehicle Technology and
Equipment, China University of Mining and Technology, Xuzhou 221008, China; 2. School of Electrical Engineering, Yancheng
Institute of Technology, Yancheng 224300, China; 3. School of Control Engineering, Xinjiang Institute of Engineering, Urumqi
830023, China; 4. Shenzhen Research Institute, China University of Mining and Technology, Shenzhen 518057, China;
5. Automotive Engineering Research Institute, Nanjing Automobile Group, Nanjing 211103, China; 6. School of
Electromechanical and Control Engineering, Shenzhen University, Shenzhen 518054, China
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| Abstract: |
| In view of the difficulty in rapidly acquiring the phase flux linkage and phase torque of a switched reluctance motor (SRM) during operation, a simplified SRM flux linkage model is proposed, which can quickly and accurately calculate the motor’s phase flux linkage and phase torque. First, different coupling coefficients ε are adopted in the proposed modeling strategy to fit the measured curves at each angle, which effectively improves the accuracy compared to the low-order Fourier decomposition method. Second, to address the problem of inaccurate flux linkage data caused by friction coefficients and measurement errors during the operation of the motor in manufacturing process, a compensation strategy based on the motor’s acceleration loop is proposed, further improving the accuracy of the flux linkage model. Finally, the phase current waveforms obtained from the third-order Fourier magnetic flux model and the proposed magnetic flux model under different control strategies are compared on a 12/8 SRM, verifying that the proposed method achieves higher modeling accuracy. |
| Key words: switched reluctance motor flux torque friction coefficient Fourier decomposition method curve fitting |
