A new axial flux permanent magnet synchronous alternator autonomously adapted to wind speeds

Kalender, Osman; Ege, Yavuz; Eskidere, Ömer; Karen, İdris; Gürdal, Osman; Unal, Cevat; Yürüklü, Emrah; Nazlibilek, Sedat; Çıtak, Hakan; Çoramık, Mustafa; Kabadayı, Murat

doi:10.1016/j.measurement.2015.03.013

Cited by 17 publications

(6 citation statements)

References 41 publications

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“…The impact of magnet shape and circumferentially magnetised magnets buried inside the rotor surface on the coreless SSDR topology has been investigated [14,46]. For coreless SSDR AFPM machines in small scale portable applications, a discussion was made about design [16,[47][48][49][50][51][52][53][54][55][56], optimisation [28,50,57] and modelling [58,59]. In Ref.…”

Section: Single Stator Double Rotor (Ssdr)mentioning

confidence: 99%

“…In Ref. [53], an axial-flux permanent-magnet synchronous generator (PMSA) was developed that is composed of a stack of rotor-stator blocks on the same shaft. In other words, it was made up of four alternators based on axial-flux permanent magnets that can generate electrical energy within the limits of the rotor's rotational speed and cope with varying wind speeds.…”

Section: Wind Turbine Application [88]mentioning

confidence: 99%

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A systematic review on current research and developments on coreless axial‐flux permanent‐magnet machines

Habib

Zainuri

Seng

et al. 2022

IET Electric Power Appl

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In recent years, coreless axial-flux permanent-magnet (AFPM) machines have been gaining attention. Being coreless, these machines do not experience eddy current (hence hysteresis losses) and has lower cogging torque leading to higher efficiency. However, limitations such as high leakage flux and weak mechanical structure impede its wide application. The results of a systematic review on coreless AFPM machine research is presented, wherein a total of 123 studies have been selected through the Preferred Reported Items for Systematic Reviews and Meta-Analysis (PRISMA) protocol. About 55% of the articles have been published between 2017 and 2021, indicating recent attention of the researchers on coreless AFPM machines. More than 70% (87 out of 123) of the records have been published by IEEE, which proves the quality and acceptance of the studies. In two-thirds (77 out of 123) of the studies, single-stator double-rotor has been adopted as the machine topology, and in 71.8% (84 out of 123) cases, trapezoidal shape magnets have been used in conventional array. The key research areas on coreless AFPM identified through this review are to produce an efficient design for multiphase and multistage topology and develop lightweight rotor and stator structures.

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Section: Single Stator Double Rotor (Ssdr)mentioning

confidence: 99%

Section: Wind Turbine Application [88]mentioning

confidence: 99%

A systematic review on current research and developments on coreless axial‐flux permanent‐magnet machines

Habib

Zainuri

Seng

et al. 2022

IET Electric Power Appl

View full text Add to dashboard Cite

show abstract

“…On the basis of PMD technology, the electromagnetic eddy current couplings can join the two moving parts as brake, transmission, or damping systems. They have many industrial applications (Kalender et al, 2015; Rama and Latha, 2015), and have the advantages that connect the two moving parts without physical link. In this section, we use two examples based the PMD loss data to show the effectiveness and feasibility of the proposed Mamdani GT2 FLSs forecasting approach.…”

Section: Simulationsmentioning

confidence: 99%

Forecasting by designing Mamdani general type-2 fuzzy logic systems optimized with quantum particle swarm optimization algorithms

Chen

Wang

2019

Transactions of the Institute of Measurement and Control

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Much more attention has been focused on studying and applying general type-2 fuzzy logic systems (GT2 FLSs) in recent years. The paper designs a type of Mamdani GT2 FLS for studying forecasting problems based on the data of permanent magnetic drive (PMD) loss. During the system design process, we choose the primary membership functions (MFs) of antecedent, consequent and input measurement general type-2 fuzzy sets (GT2 FSs) as Gaussian type MFs with uncertain standard deviations. The corresponding vertical slices (secondary MFs) are chosen as the triangle MFs. All the parameters of Mamdani GT2 FLSs are optimized by the quantum particle swarm optimization (QPSO) algorithms. Noisy data of PMD loss are adopted for both training and testing the proposed FLSs forecasting approaches. Simulation studies and convergence analysis are employed to show the effectiveness and feasibility of the proposed GT2 FLSs forecasting methods compared with their T1 and IT2 counterparts.

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“…In the section, the data of torque (Rama and Latha, 2015) and rpm (Kalender, 2015) of PMD under the complex operating conditions are adopted to elaborate the validity of forecasting based on the proposed TSK FLSs. Figure 4 shows the schematic view of PMD.…”

Section: Simulation Studiesmentioning

confidence: 99%

Study on permanent magnetic drive forecasting by designing Takagi Sugeno Kang type interval type-2 fuzzy logic systems

Wang

Chen

2018

Transactions of the Institute of Measurement and Control

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The process of permanent magnetic drive (PMD) presents high uncertainty under the complex operating conditions. In this paper, a type of Takagi Sugeno Kang (TSK) interval type-2 fuzzy logic systems (IT2 FLSs) under the Karnik-Mendel (KM) structure is designed for data-based PMD torque and revolutions per minute (rpm) forecasting. For designing the antecedent and input measurement of TSK IT2 FLSs, the primary membership functions (MFs) of interval type-2 fuzzy sets (IT2 FSs) are all selected as Gaussian type-2 MFs with uncertain derivation, while the consequent parameters are chosen as type-1 fuzzy numbers. According to matrix transformation, the complicated task of calculating derivatives in the TSK IT2 FLSs under the Karnik-Mendel structure can be managed subtly by some elementary vectors and partitioned matrices. And the parameters of the proposed systems are also tuned by the back propagation (BP) algorithms. Simulation examples based on the data of PMD torque and rpm are used to test the advanced fuzzy logic systems forecasting methods. The effective and feasibility of forecasting by the proposed type-2 systems compared with their type-1 counterparts is illustrated in the light of Monte Carlo simulations, convergence and stability analysis.

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A new axial flux permanent magnet synchronous alternator autonomously adapted to wind speeds

Cited by 17 publications

References 41 publications

A systematic review on current research and developments on coreless axial‐flux permanent‐magnet machines

A systematic review on current research and developments on coreless axial‐flux permanent‐magnet machines

Forecasting by designing Mamdani general type-2 fuzzy logic systems optimized with quantum particle swarm optimization algorithms

Study on permanent magnetic drive forecasting by designing Takagi Sugeno Kang type interval type-2 fuzzy logic systems

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