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Modeling and Analysis of Equivalent Magnetic Network Model for Novel Asymmetric Rotor Permanent Magnet-assisted Synchronous Reluctance Motor

Hao ChenShenzhen Research Institute China University of Mining and Technology, Shenzhen 515100, China, School of Electrical Engineering China University of Mining and Technology, Xuzhou 221116, China, Nexus Intelligent Equipment (Zhejiang) Co. Ltd. Zhejiang, ChinaZiqiang WeiSchool of Electrical Engineering China University of Mining and Technology, Xuzhou 221116, ChinaXing WangShenzhen Research Institute China University of Mining and Technology, Shenzhen 515100, ChinaShudong HouNexus Intelligent Equipment (Zhejiang) Co. Ltd. Zhejiang, ChinaAntonino MusolinoDepartment of Energy, System, Territory and Construction Engineering (DESTEC) University of Pisa, 56122 Pisa, ItalyMurat ShamiyevTashkent State Technical University Tashkent City, Republic of UzbekistanPulatov Abror AbidovichTashkent State Technical University Tashkent City, Republic of UzbekistanEmmanuel KarapidakisSchool of Engineering Hellenic Mediterranean University (HMU), Estavromenos Campus, 71004 Heraklio, Crete, GreeceAris DimeasAthens National University of Technology GreeceSherif MoussaSchool of Engineering Canadian University, Sheikh Zayed Road, 117781 Dubai, UAEBashar ShboulRenewable Energy Engineering Department Faculty of Engineering, Al Al-Bayt University, Mafraq, Jordan
ABI

Аннотация

This paper presents a novel asymmetric rotor permanent magnet-assisted synchronous reluctance motor (NAR-PMa-SynRM) designed to enhance torque output and reduce torque ripple by employing unconventional methods compared to traditional approaches where permanent magnets are embedded within magnetic barriers. In this design, tile-shaped permanent magnets are embedded along the rotor d-axis, coupled with an asymmetric magnetic barrier structure. To streamline the motor design process, a nonlinear equivalent magnetic network (EMN) model tailored to the distinctive structure of the NAR-PMa-SynRM is proposed. However, modeling the complex magnetic barrier structure poses a significant challenge in magnetic network modeling. To address this challenge, an effective method for representing the magnetic barriers equivalently is proposed to enhance modeling accuracy. Finally, the effectiveness of the proposed equivalent barrier method and magnetic network model is validated by comparing air gap magnetic flux density results obtained from finite element and magnetic network simulations.

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Показатели — AkademScholar · Скоро