Design, Analysis, and Prototyping of an Axial-Flux Permanent Magnet Motor Based on Genetic Algorithm and Finite-Element Analysis

Mahmoudi, Amin; Kahourzade, Solmaz; Rahim, N.A.; Hew, W.P.

doi:10.1109/tmag.2012.2228213

Cited by 134 publications

(68 citation statements)

References 33 publications

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“…In [12], the Genetic Algorithm is used to optimize the distribution of the PMs and minimize the cogging torque of the motor. In [13], the authors reported an axial-flux permanent magnet motor optimized by the Genetic Algorithm-based sizing equation and the finite-element analysis, FEA and GA simulation results were compared and agreed well to the flux density in various areas of the designed motor at no-load condition.…”

Section: Introductionmentioning

confidence: 67%

Optimization Design of Magnetic Gear Based on Genetic Algorithm Toolbox of Matlab

Jing¹,

Luo²,

Liu³

et al. 2016

Journal of Electrical Engineering and Technology

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-Concentric magnetic gear (CMG) is a transmission gear with a novel structure and a promising prospect. However, the calculation of its electromagnetic field is more complicated. In this paper, an exact analytical method is used to calculate the magnetic field distribution and electromagnetic torque. The genetic algorithm optimization toolbox of matlab (GAOT) provides a good tool for its optimization design. The optimization results show that the genetic algorithm is practicable and effective, and provide a new approach for the analysis and design of the concentric magnetic gear. It is significant for the research and application of the concentric magnetic gear.

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Section: Introductionmentioning

confidence: 67%

Optimization Design of Magnetic Gear Based on Genetic Algorithm Toolbox of Matlab

Jing¹,

Luo²,

Liu³

et al. 2016

Journal of Electrical Engineering and Technology

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“…The permanent magnets (PMs) with ring shape are assembled over the rotor yokes. The two rotors are symmetrically distributed on two sides of the stator, which improves the output torque as well as avoids any one-sided asymmetric magnetic forces [12]. Furthermore, the stator without the iron core benefits from no iron loss.…”

Section: Introductionmentioning

confidence: 99%

Development of an Axial Flux MEMS BLDC Micromotor with Increased Efficiency and Power Density

Ding

Liu

et al. 2015

Energies

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This paper presents a rigorous design and optimization of an axial flux microelectromechanical systems (MEMS) brushless dc (BLDC) micromotor with dual rotor improving both efficiency and power density with an external diameter of only around 10 mm. The stator is made of two layers of windings by MEMS technology. The rotor is developed by film permanent magnets assembled over the rotor yoke. The characteristics of the MEMS micromotor are analyzed and modeled through a 3-D magnetic equivalent circuit (MEC) taking the leakage flux and fringing effect into account. Such a model yields a relatively accurate prediction of the flux in the air gap, back electromotive force (EMF) and electromagnetic torque, whilst being computationally efficient. Based on 3-D MEC model the multi-objective firefly algorithm (MOFA) is developed for the optimal design of this special machine. Both 3-D finite element (FE) simulation and experiments are employed to validate the MEC model and MOFA optimization design.

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“…the power density. Simulation results presented in this section are compared with those provided in [18]. Results provided by this reference work were tested on laboratory.…”

Section: Resultsmentioning

confidence: 99%

Optimal design of a three-phase AFPM for in-wheel electrical traction

Saavedra

Romeral

Riba

2014

2014 IEEE International Electric Vehicle Conference (IEVC)

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Abstract-Sinusoidally fed permanent magnet synchronous motors (PMSM) fulfill the special features required for traction motors to be applied in electric vehicles (EV). Among them, axial flux permanent magnet (AFPM) synchronous motors are especially suited for in-wheel applications. Electric motors used in such applications must meet two main requirements, i.e. high power density and fault tolerance. This paper deals with the optimal design of an AFPM for in-wheel applications used to drive an electrical scooter. The single-objective optimization process carried out in this paper is based on designing the AFPM to obtain an optimized power density while ensuring appropriate fault tolerance requirements. For this purpose a set of analytical equations are applied to obtain the geometrical, electric and mechanical parameters of the optimized AFPM and several design restrictions are applied to ensure fault tolerance capability. The optimization process is based on a genetic algorithm and two more constrained nonlinear optimization algorithms in which the objective function is the power density. Comparisons with available data found in the technical bibliography show the appropriateness of the approach developed in this work.

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Design, Analysis, and Prototyping of an Axial-Flux Permanent Magnet Motor Based on Genetic Algorithm and Finite-Element Analysis

Cited by 134 publications

References 33 publications

Optimization Design of Magnetic Gear Based on Genetic Algorithm Toolbox of Matlab

Optimization Design of Magnetic Gear Based on Genetic Algorithm Toolbox of Matlab

Development of an Axial Flux MEMS BLDC Micromotor with Increased Efficiency and Power Density

Optimal design of a three-phase AFPM for in-wheel electrical traction

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