Ironless Permanent-Magnet Generators for Offshore Wind Turbines

Zhao-qiang, Zhang; Matveev, Alexey; Nilssen, Robert; Nysveen, Arne

doi:10.1109/tia.2013.2289983

Cited by 35 publications

(15 citation statements)

References 17 publications

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“…(6) Note that similar optimization results for 1S-AFPMG are reported in Zhang et al (2014); however, compared to the results in this study, the positions (values of free variables) where the optimization results are obtained are different. This implies the importance of having enough populations and generations in this kind of mixed integer GA-based optimizations.…”

Section: General Remarkssupporting

confidence: 69%

“…The authors previously developed a design strategy in which the 2D and 3D Static Finite Element Analyses (SFEAs) were driven by a Genetic Algorithm (GA) for machine optimization. This design strategy was successfully used in the optimization of 1S machines (Zhang et al 2014), and the lab tests in a 50 kW ironless axial-flux permanent magnet generator ( Figure 1) confirmed its high accuracy. However, it has the drawback of long calculation time.…”

Section: Introductionmentioning

confidence: 84%

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Design optimization of ironless multi-stage axial-flux permanent magnet generators for offshore wind turbines

Zhao-qiang¹,

Nilssen

Muyeen³

et al. 2016

Engineering Optimization

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Design optimization of ironless multi-stage axial-flux permanent magnet generators for offshore wind turbines Direct-driven ironless-stator machines have been reported to have low requirement to the strength of the supporting structures. This feature is attractive for offshore wind turbines where lightweight generators are preferred. However, to produce sufficient torque, ironless generators are normally designed at large diameters, which can be a challenge to the machine structural reliability. Ironless Multi-Stage Axial-Flux Permanent Magnet Generator (MS-AFPMG) embraces the advantages of ironless machines but has relatively small diameter. The objective of this article is to present the design optimization and performance investigation of the ironless MS-AFPMG. An existing design strategy, which employs 2D and 3D static finite element analyses and genetic algorithm for machine optimization, is improved with the aim to reduce the calculation load and calculation time. This improved design strategy is used to investigate the optimal ironless MS-AFPMG. Some intrinsic features of this kind of machine are revealed.

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Section: General Remarkssupporting

confidence: 69%

Section: Introductionmentioning

confidence: 84%

Design optimization of ironless multi-stage axial-flux permanent magnet generators for offshore wind turbines

Zhao-qiang¹,

Nilssen

Muyeen³

et al. 2016

Engineering Optimization

Self Cite

View full text Add to dashboard Cite

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“…The mass of each material was computed based on the material volume and the corresponding mass density. In the calculations, the material price of copper, steel, and PM were considered equal to 15, 3, and 80 Ero/kg, respectively [29,33].…”

Section: Optimization Model Of the Afpmsgmentioning

confidence: 99%

Sensitivity Analysis and Optimal Design of a Stator Coreless Axial Flux Permanent Magnet Synchronous Generator

Wang

Zhou

et al. 2019

Sustainability

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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.

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“…Therefore, the ratio of the back-EMF of the middle layer is smaller than the other two, which eventually leads to large torque fluctuations and vibrations. If the overlap coils can be bent with all the active conductors lying in one plane, the air gaps of all three phases will be evened out [12]. Moreover, the structure of such machines makes them sensitive to geometrical imperfections [13] due to winding process.…”

Section: Introductionmentioning

confidence: 99%

Novel design of a coreless axial‐flux permanent‐magnet generator with three‐layer winding coil for small wind turbines

Yao

Cheng

2020

IET Renewable Power Generation

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Ironless Permanent-Magnet Generators for Offshore Wind Turbines

Cited by 35 publications

References 17 publications

Design optimization of ironless multi-stage axial-flux permanent magnet generators for offshore wind turbines

Design optimization of ironless multi-stage axial-flux permanent magnet generators for offshore wind turbines

Sensitivity Analysis and Optimal Design of a Stator Coreless Axial Flux Permanent Magnet Synchronous Generator

Novel design of a coreless axial‐flux permanent‐magnet generator with three‐layer winding coil for small wind turbines

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