[1]梅文庆,南永辉,廖 武,等.基于滑模观测器的LSLSM位置辨识研究[J].机车电传动,2020,(01):79-84.[doi:10.13890/j.issn.1000-128x.2020.01.016]
 MEI Wenqing,NAN Yonghui,LIAO Wu,et al.Research on Position Identification of Long Stator Linear SynchronousMotor Based on Sliding Mode Observer[J].Electric Drive for Locomotives,2020,(01):79-84.[doi:10.13890/j.issn.1000-128x.2020.01.016]
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基于滑模观测器的LSLSM位置辨识研究()
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机车电传动[ISSN:1000-128X/CN:43-1125/U]

卷:
期数:
2020年01期
页码:
79-84
栏目:
研究开发
出版日期:
2020-01-10

文章信息/Info

Title:
Research on Position Identification of Long Stator Linear SynchronousMotor Based on Sliding Mode Observer
文章编号:
1000-128X(2020)01-0079-06
作者:
梅文庆南永辉廖 武文宇良赵岸峰
(中车株洲电力机车研究所有限公司, 湖南 株洲 412001)
Author(s):
MEI Wenqing NAN Yonghui LIAO Wu WEN Yuliang ZHAO Anfeng
( CRRC Zhuzhou Institute Co., Ltd., Zhuzhou, Hunan 412001, China )
关键词:
高速磁浮长定子直线同步电机滑模观测器 位置辨识定子磁链仿真
Keywords:
high-speed maglev LSLSM sliding mode observer position identification stator flux simulation
分类号:
U237
DOI:
10.13890/j.issn.1000-128x.2020.01.016
文献标志码:
A
摘要:
基于长定子直线同步电机(LSLSM)的磁浮列车在中高速运行时,传统的车载位置传感器无法准确获取电机位置信息,并且位置信息易受到干扰,为此提出基于滑模观测器的位置辨识方法。在分析滑模观测器对定子电阻、d轴电感和q轴电感参数敏感性基础上,采用一种基于q轴电感校正的LSLSM位置辨识方法,可提高位置观测精度和系统可靠性。通过数字仿真和磁浮试验线验证了所提方法的正确性。
Abstract:
When the maglev train runs at medium and high speed based on the long stator linear synchronous motor (LSLSM), the position information of the motor can’ t be accurately obtained by the traditional on-board position sensor, and the position information is susceptible to interference. A position identification method based on sliding mode observer was proposed. Based on the analysis of the sensitivity of stator resistance, d-axis inductance and q-axis inductance of sliding mode observer, a position identification method of LSLSM based on q-axis inductance correction was provided, which could improve the position observation accuracy and system reliability. The correctness of the proposed method was verified by digital simulation and magnetic levitation test line.

参考文献/References:

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备注/Memo

备注/Memo:
作者简介:梅文庆(1982—),男,硕士,高级工程师,主要从事大功率变流控制技术研究。
更新日期/Last Update: 2020-01-10