Litcius/Paper detail

Design and Analysis of New Dual-Stator Flux Modulated Machines With Dual-PM Excitation

Yao Meng, Shuhua Fang, Ya Li, Yuxiang Zhong, Ling Qin

2022IEEE Transactions on Industry Applications27 citationsDOI

Abstract

This article proposes new dual-stator flux modulated machines with dual-permanent magnet (PM) excitation (DS-FMDPMMs) for direct-drive applications. The proposed DS-FMDPMMs are characterized by employing consequent-pole (CP) PMs on both the stator and rotor sides. By using dual-layer CP PMs, the DS-FMDPMMs can perform the bidirectional flux modulation effect to enhance the torque capability. In addition, the merits of dual-stator structure, such as high space utilization, high torque density, and power factor are inherited in the proposed machines. The design principle of DS-FMDPMM is provided at first, and the formed three representative DS-FMDPMMs with different stator-PM arrangements are proposed. Then, the design considerations of three DS-FMDPMMs are described in detail, which includes the armature winding design, the selection of stator-slot/rotor-pole combination, and the influence of critical structural parameters on torque. In order to find an optimal direct-drive candidate among the three DS-FMDPMMs, a quantitative electromagnetic performance comparison is developed through finite element analysis (FEA). The results show that among the three machines, DS-FMDPMM-I accommodates the highest torque density, lowest torque ripple, best over-load torque capability, and highest efficiency. Moreover, to further verify its performance advantages, the electromagnetic performances of DS-FMDPMM-I and two typical dual-stator flux modulated PM machines are compared through FEA. Finally, a prototype of the optimal DS-FMDPMM is manufactured and tested to validate the effectiveness of FEA-predicted results.

Topics & Concepts

StatorTorque densityArmature (electrical engineering)Torque rippleTorqueDirect torque controlControl theory (sociology)Rotor (electric)MagnetEngineeringFinite element methodComputer scienceInduction motorPhysicsMechanical engineeringElectrical engineeringStructural engineeringVoltageControl (management)ThermodynamicsArtificial intelligenceElectric Motor Design and AnalysisMagnetic Bearings and Levitation DynamicsMagnetic Properties and Applications