Abstract

In this paper, the modified initial design procedure and economic optimization design of a stator coreless axial flux permanent magnet synchronous generator (AFPMSG) are presented to improve the design accuracy, efficiency, and economy. Static magnetic field finite-element analysis (FEA) is applied to the magnetic equivalent circuit (MEC) method to increase the accuracy of electromagnetic parameters and reduce the iteration times. The accuracy and efficiency of the initial design is improved by the combination of MEC method and static magnetic field FEA in the design procedure. For the economic optimization, the permanent magnetic (PM) material volume model, which affects the cost of the AFPMSG the most, is derived, and the influence degree of the main structure parameters, to the performance, is distinguished and sorted by sensitivity analysis. The hybrid genetic algorithm that combines the simulated annealing and father-offspring selection method is studied and adopted to search for the best optimization solution from the different influence degree and nonlinear interaction parameters. A 1 kW AFPMSG is designed and optimized via the proposed design procedure and optimization design. Finally, 3D finite-element models of the generator are simulated and compared to confirm the validity of the proposed improved design and the generator performance.

Highlights

  • In the topic of permanent magnet electrical machine construction, recent works have shown that the usage of neodymium-iron-boron (NdFeB) and types of permanent magnet motor have drastically increased over the last decades, mainly due to cheaper cost and the demand of non-pollution energy

  • There are a lot of categories of permanent magnet generators available, the axial flux permanent magnet synchronous generator (AFPMSG), with a different electromagnetic path from traditional motors, is studied here

  • Because of the non-ferromagnetic stator core, the effective air gap length is larger and requires more active PM material to keep the magnetic field in the air gap, which increases the cost of the AFPMSG

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Summary

Introduction

In the topic of permanent magnet electrical machine construction, recent works have shown that the usage of neodymium-iron-boron (NdFeB) and types of permanent magnet motor have drastically increased over the last decades, mainly due to cheaper cost and the demand of non-pollution energy. The non-uniform distribution of magnetic field, large air gap, and the interaction of structural parameters make the stator coreless AFPMSG a multi-variable non-linear system, which brings great difficulties to its optimization design [7]. Performance optimizations, including the maximum power density, low cogging torque, minimum material cost, etc., via the GA, are presented in [24,25,26] In these studies, the sensitivity analysis of the generator design parameters to output performance and economy optimization is not paid enough attention, which affects the efficiency and results of the motor optimization design. Do2ut − Di2n where, kw, ns, Aav, Bδ, Dout, and Din are winding factor, rotor speed, average electrical loading, flux density of the air gap, and outer and inner diameter of the AFPMSG, respectively; and αi is the calculated polar arc coefficient. Th. eThcaelccaullcautiloantioonf oevf eervyearsypeacstpleocstsloofssthoefAtFhPeMASFGPMhaSsGbeheansrebseeeanrcrheesdeaarncdhepdreasenndtepdreinse[n5t,2e9d,3i0n].[T5h,2u9s,3, 0th].eTehffiucsi,enthcye eoffftichieenAcFyPoMf tShGe iAs FePxpMreSsGseids eaxsp: ressed as: ηη == Pout/⁄((Pout ++ Pcu ++ Peddy__cu ++ Pmech ++ Pcore )

Improved Initial Design Procedure
Design Parameters
Optimization Model of the AFPMSG
Sensitive Analysis for Design Parameters
Conclusions

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