Journal Article

·2024 OPEN ACCESS

Optimizing a PMSM With Multi-Physics Approach for Fly-Gen Type Airborne Wind Energy Systems

Esra Çelik YTU , Muhammet Garip YTU , Kadir Erkan YTU

IEEE Access

Abstract

In recent years, considerable research efforts have been invested in airborne wind energy systems (AWES) due to traditional wind turbine technologies’ technical and economic limitations. This study describes the design process of a multimode electrical machine for a Fly-Gen AWES, employing a multi-physics approach analytical model with a multi-objective genetic algorithm. The design process integrates an analytical electromagnetic model for a permanent magnet synchronous machine (PMSM) within a multiphysics framework, incorporating thermal and mechanical constraints. To enhance the power density, the design utilized a cobalt-iron magnetic material. The proposed method is evaluated with various constraints to validate its versatility successfully. Subsequently, a 2.5 kW motor/generator unit is optimized under a 600 V DC voltage condition and verified with 2D finite element method (FEM) analysis. The optimized machine achieves a power density of 1.8 kW/kg with an efficiency of 96%. Thermal analysis confirmed that the winding and magnet temperatures remained below the critical temperature thresholds in successive motor and generator operations. Similarly, mechanical strength analysis resulted in satisfying mechanical limits. These findings highlight the potential of the proposed efficient and reliable machine design method.

Keywords

Multiphysics Wind power Finite element method Permanent magnet synchronous generator Computer science Magnet Electromagnetics Mechanical engineering Power density Turbine Control engineering Power (physics) Automotive engineering Engineering Electrical engineering Electronic engineering Physics

Subject Areas

Electric Motor Design and Analysis ·Electrical and Electronic Engineering ·Physical Sciences
Wind Energy Research and Development ·Aerospace Engineering ·Physical Sciences
Magnetic Bearings and Levitation Dynamics ·Control and Systems Engineering ·Physical Sciences

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