永磁同步电机的偏转技术:综述及最新趋势

IF 5.2 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Ren Tsunata;Masatsugu Takemoto
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引用次数: 0

摘要

本文对永磁同步电动机偏转技术的研究现状进行了综述。为了减小永磁同步电机的齿槽转矩和转矩脉动,斜转技术在许多应用中得到了广泛的应用。实现倾斜的方法有很多,新技术也在不断地被开发出来。首先,本文总结了倾斜结构的类型,并对现有技术进行了综述。具体的重点放在什么样的倾斜结构是根据永磁同步电机的配置选择。其次,对各种结构的最优倾斜角值进行了综合解释,并讨论了理论与有限元分析的差异。斜角的定义在文献中各不相同,本文的目的之一是以易于理解的方式组织该定义。此外,本文还提供了采用偏度进行定量比较的各种永磁同步电机的三维有限元分析(3D-FEA)结果。然后,本文讨论了斜向永磁同步电动机的结构特性和最新发展趋势,并对其未来发展前景进行了展望。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Skewing Technology for Permanent Magnet Synchronous Motors: A Comprehensive Review and Recent Trends
This article gives a comprehensive overview of the current research trends in the skewing technique for permanent magnet synchronous motors (PMSMs). The skewing technique has been widely used in many applications to reduce the cogging torque and torque ripple in PMSMs. There are many ways to implement the skew, and new techniques are continually being developed. First, this article summarizes the types of skew structures and presents a survey of existing techniques. Specific emphasis is placed on what kind of skew structure is selected depending on the PMSM configuration. Second, the optimal value of the skew angle for each structure is comprehensively explained, and the discrepancy between theory and finite element analysis is discussed. The definition of skew angle varies across the literature, and one of the purposes of this article is to organize the definition in an easy-to-understand manner. In addition, this article offers three-dimensional finite element analysis (3D-FEA) results of various PMSMs employing the skew for quantitative comparison. Then, this article discusses the properties of PMSMs using the skew by structure and the latest trends, and finally describes future prospects.
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来源期刊
IEEE Open Journal of the Industrial Electronics Society
IEEE Open Journal of the Industrial Electronics Society ENGINEERING, ELECTRICAL & ELECTRONIC-
CiteScore
10.80
自引率
2.40%
发文量
33
审稿时长
12 weeks
期刊介绍: The IEEE Open Journal of the Industrial Electronics Society is dedicated to advancing information-intensive, knowledge-based automation, and digitalization, aiming to enhance various industrial and infrastructural ecosystems including energy, mobility, health, and home/building infrastructure. Encompassing a range of techniques leveraging data and information acquisition, analysis, manipulation, and distribution, the journal strives to achieve greater flexibility, efficiency, effectiveness, reliability, and security within digitalized and networked environments. Our scope provides a platform for discourse and dissemination of the latest developments in numerous research and innovation areas. These include electrical components and systems, smart grids, industrial cyber-physical systems, motion control, robotics and mechatronics, sensors and actuators, factory and building communication and automation, industrial digitalization, flexible and reconfigurable manufacturing, assistant systems, industrial applications of artificial intelligence and data science, as well as the implementation of machine learning, artificial neural networks, and fuzzy logic. Additionally, we explore human factors in digitalized and networked ecosystems. Join us in exploring and shaping the future of industrial electronics and digitalization.
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