Application of Frequency Response Analysis for Parameters Estimation of Switched Reluctance Motors

IF 1.6 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Journal of Electrical Engineering & Technology Pub Date : 2024-07-26 DOI:10.1007/s42835-024-01975-9
Fatima E. El Mansouri, Mohamed I. Mosaad, Laila Kadi, Abdelmalek Ouannou, Hafid Oubouaddi, Adil Brouri
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Abstract

Switched reluctance machines (SRMAs) have recently received significant attention in the electrical power research community. This attention can be attributed to its outstanding features and traits of being used as generators or engines. An accurate model should be developed to design controllers and drives for these SRMAs properly. Analytical techniques and polynomial degree representation have been used in several attempts to find the SRMA parameters in the literature. However, it is important to note that these techniques are based on many assumptions and approximations. This study develops a precise, analytical model of the SRMA without any assumptions, approximations, or conducting any practical experiments. This analysis is based on frequency techniques using Fourier expansion and spectrum analysis. Then, an identification method is proposed to determine the model parameters, e.g., the inductance parameters. Furthermore, the magnetic field distribution and other performances of the switched reluctance motors, such as the torque, can be given using this method. Comparisons between the outcomes produced by this frequency model and those provided by FEM (Finite Element Method) and the recursive least squares approach were made to demonstrate the efficacy of the suggested study. This comparison shows that the proposed method is more accurate in finding the SRMA parameters than other methods. The proposed approach effectively predicted the motor parameters in about 2% less than other methods.

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频率响应分析在开关磁阻电机参数估算中的应用
开关磁阻机(SRMA)最近在电力研究领域受到了极大关注。这种关注可归因于其作为发电机或发动机使用的突出特点和特性。为正确设计这些 SRMA 的控制器和驱动器,需要开发一个精确的模型。文献中多次尝试使用分析技术和多项式度表示法来查找 SRMA 参数。然而,需要注意的是,这些技术基于许多假设和近似值。本研究建立了一个精确的 SRMA 分析模型,没有任何假设、近似值,也没有进行任何实际实验。该分析基于频率技术,使用傅立叶扩展和频谱分析。然后,提出了一种确定模型参数(如电感参数)的识别方法。此外,还可利用该方法给出开关磁阻电机的磁场分布和其他性能,如扭矩。为了证明所建议研究的有效性,我们对该频率模型产生的结果与 FEM(有限元法)和递归最小二乘法提供的结果进行了比较。比较结果表明,与其他方法相比,建议的方法能更准确地找到 SRMA 参数。与其他方法相比,建议的方法在预测电机参数方面有效地减少了约 2%。
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来源期刊
Journal of Electrical Engineering & Technology
Journal of Electrical Engineering & Technology ENGINEERING, ELECTRICAL & ELECTRONIC-
CiteScore
4.00
自引率
15.80%
发文量
321
审稿时长
3.8 months
期刊介绍: ournal of Electrical Engineering and Technology (JEET), which is the official publication of the Korean Institute of Electrical Engineers (KIEE) being published bimonthly, released the first issue in March 2006.The journal is open to submission from scholars and experts in the wide areas of electrical engineering technologies. The scope of the journal includes all issues in the field of Electrical Engineering and Technology. Included are techniques for electrical power engineering, electrical machinery and energy conversion systems, electrophysics and applications, information and controls.
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