Optimization of surface-mounted permanent magnet brushless AC motor using analytical model and differential evolution algorithm

Mohamed, Mohd Rezal; Ishak, Dahaman

doi:10.2478/jee-2019-0029

Cited by 6 publications

(6 citation statements)

References 34 publications

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“…From Eqs. (17) and (18), it can be verified that the Fourier coefficients of the magnetic flux density in the non-homogeneous region, v = 2, are related to those of different space harmonic orders of the surrounding regions, i.e., v = 1 and 3. Also, introducing the space-varying permeability leads to mutual dependence of cosine and sine Fourier coefficients.…”

Section: Integral Index Relation Integral Resultsmentioning

confidence: 98%

“…Nonetheless, these are time-consuming and require large storage memory [15,16]. Diversely, (semi-) analytical methods provide fast and accurate results on magnetic fields calculations, which are preferable characteristics for application in optimization routines [17,18]. Two types of analytical methods are commonly used for design purpose: magnetic equivalent circuit (MEC) and Maxwell-Fourier (MF) methods [19][20][21].…”

Section: Introductionmentioning

confidence: 99%

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Improved Semi-Analytical Magnetic Field Solution for High-Speed Permanent-Magnet Machines With Permeable Retaining Sleeve Including Diffusion Effect

Mendonça¹,

Maia²,

Filho³

2020

PIER B

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This work presents a novel semi-analytical model for magnetic field calculation in a highspeed surface-mounted permanent-magnet machine with conducting and permeable retaining sleeve. The retaining sleeve with conducting material and non-homogeneous permeability affects the machine electromagnetic performance by altering main flux inductance and developed torque profile. This performance deviation can be attributed to eddy-current reaction field and saturation, the latter occurring due to pole-to-pole leakage flux. Saturation is modeled with a space-varying relative permeability, expressed as a Fourier series. Eddy-currents are evaluated with an auxiliary winding, defined as a surface current density in the conducting region. The proposed method is based on well-established Maxwell-Fourier method. This permits other analysis, such as slotting effect through subdomain technique. The assumptions considered for the developed semi-analytical solution in two-dimensional problem are presented in depth and confronted with finite-element method results, confirming validity of proposed methodology.

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Section: Integral Index Relation Integral Resultsmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

Improved Semi-Analytical Magnetic Field Solution for High-Speed Permanent-Magnet Machines With Permeable Retaining Sleeve Including Diffusion Effect

Mendonça¹,

Maia²,

Filho³

2020

PIER B

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“…Numerical approaches like as finite element analysis (FEA) are widely used to design and establish the ideal configuration of DS-PMSMs before fabrication and manufacture. Manually varying the important parameters in the motor constructions, on the other hand, will require a longer computational burden, making it impractical to achieve the best motor performance (Ahmad et al 2021;Mohamed and Ishak 2019).…”

Section: Introductionmentioning

confidence: 99%

Performance Improvement for double-stator permanent magnet synchronous machine using analytical subdomain model

Ahmad

Ishak²,

Leong³

et al. 2022

JER is an international, peer-reviewed journal that publishes f

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An analytical subdomain model is employed in this paper for predicting the magnetic field distributions in a three-phase double-stator permanent magnet synchronous machine (DS-PMSM) during open-circuit and onload conditions. Due to the stator cores are located in the outer and inner parts of the motor, the DS-PMSM construction is quite complex. The rotor magnets are positioned between these two stators. The stator inner radius, stator outer radius, slot opening, magnet arc, magnet thickness, inner and outer air-gap thickness and number of windings turns will directly influence the motor performance in DS-PMSM. The analytical subdomain model employed in this paper has a significant advantage as a rapid design tool since it is capable of precisely predicting the performance of DS-PMSM while requiring less computational effort. The analytical model was initially created using the separation of variables technique in four subdomains based on the Poisson’s and Laplace’s equations: inner air-gap, inner magnet, outer magnet and outer air-gap. Applying the appropriate boundary and interface conditions yields the field solutions in each subdomain. Besides, the fractional DS-PMSM with different number of slots between outer and inner stators to rotor poles can result in low cogging torque and non-overlapping winding configuration. The analytical results are validated by Finite Element Analysis (FEA). The slotted air-gap flux density, back-emf, and output torque have all been evaluated as electromagnetic performances. The results demonstrate that the suggested analytical model is capable of accurately predicting the DS-PMSM performance.

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“…To evaluate the performances of DS-PMSM, numerical methods such as the finite element analysis (FEA) have been intensively used for designing and determining the optimal configuration of PMSMs before proceeding to fabrication and manufacture. However, manually varying the important parameters in the machine constructions will require a longer computational time and impractical to achieve the best motor performance [17]- [18].…”

Section: Introductionmentioning

confidence: 99%

Optimization of double stator PMSM with different slot number in inner and outer stators using genetic algorithm

Ahmad

Ishak

Leong

et al. 2021

IJPEDS

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<span lang="EN-US">This paper describes the performance enhancement of double stator permanent magnet synchronous machines (DS-PMSM) based on genetic algorithm optimization (GAO). Generally, throughout the development stage, an analytical calculation is implemented to build the initial model of the DS-PMSM since the analytical calculation can provide the initial parameters based on the types and materials used in the machine design. For further improvement, GAO might potentially be applied to provide the optimization technique in searching the optimal motor parameters iteratively and intelligently with specific objective functions. For this aim, a three-phase, DS-PMSM with different number of slots between the outer and inner stators is first designed by using analytical parameter estimation and then later optimized by GAO. The outer and inner stators have 12-slots and 9-slots respectively, while, the rotor carries 10 magnetic poles. Four main input motor parameters, i.e. outer stator slot opening, outer magnet pole arc, inner stator slot opening and inner magnet pole arc are varied and optimized to achieve the design objective functions, i.e. high output torque, low torque ripple, low cogging torque and low total harmonic distortion (THDv). The results from the optimized GAO are compared with the initial motor model and further validated by finite element method (FEM). The results show a good agreement between GAO and FEM. GAO has achieved very significant improvements in enhancing the machine performance.</span>

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Optimization of surface-mounted permanent magnet brushless AC motor using analytical model and differential evolution algorithm

Cited by 6 publications

References 34 publications

Improved Semi-Analytical Magnetic Field Solution for High-Speed Permanent-Magnet Machines With Permeable Retaining Sleeve Including Diffusion Effect

Improved Semi-Analytical Magnetic Field Solution for High-Speed Permanent-Magnet Machines With Permeable Retaining Sleeve Including Diffusion Effect

Performance Improvement for double-stator permanent magnet synchronous machine using analytical subdomain model

Optimization of double stator PMSM with different slot number in inner and outer stators using genetic algorithm

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