Design Optimization for Cogging Torque Minimization Using Response Surface Methodology

Li, J.T.; Liu, Z.J.; Jabbar, M.A.; Gao, Richard Xian-Ke

doi:10.1109/tmag.2004.824809

Cited by 58 publications

(32 citation statements)

References 4 publications

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“…These two models is examined by using analysis-of-variance (ANOVA). 15 The resulted coefficient of determination R 2 A equals 0.992 and 0.999 for the models built in step 1 and 2, respectively. This demonstrates that the fitted models can provide adequate approximation for the true response with very high accuracy.…”

Section: Design and Optimizationmentioning

confidence: 95%

Design and analysis of a direct-drive wind power generator with ultra-high torque density

Jian

Shi

Wei

et al. 2015

Journal of Applied Physics

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In order to get rid of the nuisances caused by mechanical gearboxes, generators with low rated speed, which can be directly connected to wind turbines, are attracting increasing attention. The purpose of this paper is to propose a new direct-drive wind power generator (DWPG), which can offer ultra-high torque density. First, magnetic gear (MG) is integrated to achieve non-contact torque transmission and speed variation. Second, armature windings are engaged to achieve electromechanical energy conversion. Interior permanent magnet (PM) design on the inner rotor is adopted to boost the torque transmission capability of the integrated MG. Nevertheless, due to lack of back iron on the stator, the proposed generator does not exhibit prominent salient feature, which usually exists in traditional interior PM (IPM) machines. This makes it with good controllability and high power factor as the surface-mounted permanent magnet machines. The performance is analyzed using finite element method. Investigation on the magnetic field harmonics demonstrates that the permanent-magnetic torque offered by the MG can work together with the electromagnetic torque offered by the armature windings to balance the driving torque captured by the wind turbine. This allows the proposed generator having the potential to offer even higher torque density than its integrated MG. V C 2015 AIP Publishing LLC. [http://dx.

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Section: Design and Optimizationmentioning

confidence: 95%

Design and analysis of a direct-drive wind power generator with ultra-high torque density

Jian

Shi

Wei

et al. 2015

Journal of Applied Physics

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“…The design of proposed model II is optimized using RSM to improve its torque characteristics [10][11][12]. RSM is a statistical optimization method that could be well adapted to develop an analytical model for complex problems in which a response of interest is influenced by several variables.…”

Section: Parameters Optimizationmentioning

confidence: 99%

Design of Coaxial Magnetic Gear for Improvement of Torque Characteristics

Shin¹,

Chang²

2014

Journal of Magnetics

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This paper proposes new types of models that have coaxial magnetic gear (CMG) configurations to increase torque transmission capability. They have flux concentrating structures at the outer low speed rotor, and permanent magnets (PMs) are embedded in the space between stationary pole pieces. The torque performances of the proposed models are compared with those of a basic CMG model. The harmonic torque components due to air gap field harmonics are also analyzed to investigate the torque contribution of each harmonic by using finite element analysis (FEA) and the Maxwell stress tensor. The proposed CMG model is optimized to have high torque density with low torque ripples by response surface methodology (RSM). Compared to the basic CMG model, the proposed model has a huge increase in transmitted torque density, and is very advantageous in term of PM use.

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“…Finally, the analysis-of-variance (ANOVA) [22] is engaged to examine the fitted model (23) to ensure that it could provide an adequate approximation for the true response. Herein, the total number of parameters in the fitted model M is 10, while the number of the simples N equals 15, thus the degree of freedom of the regression and the residual equals 9 and 5, respectively.…”

Section: Shape Factors Of Ferromagnetic Segments and Their Impact On mentioning

confidence: 99%

Optimum Design for Improving Modulating-Effect of Coaxial Magnetic Gear Using Response Surface Methodology and Genetic Algorithm

Jian

Xu²,

Song³

et al. 2011

PIER

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Abstract-Coaxial magnetic gear (CMG) is a non-contact device for torque transmission and speed variation which exhibits promising potential in several industrial applications, such as electric vehicles, wind power generation and vessel propulsion. CMG works lying on the modulating-effect aroused by the ferromagnetic segments. This paper investigates the optimum design for improving the modulating-effect. Firstly, the operating principle and the modulating-effect is analyzed by using 1-D field model, which demonstrates that the modulatingeffect is essential for the torque transmission capacity of CMGs, and the shape of the ferromagnetic segments have impact on the modulatingeffect. Secondly, the fitted model of the relationship between the maximum pull-out torque and the shape factors including radial height, outer-edge width-angle and inner-edge width-angle is built up by using surface response methodology. Moreover, FEM is engaged to evaluate its accuracy. Thirdly, the optimum shape of the ferromagnetic segment is obtained by using genetical algorithm.

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Design Optimization for Cogging Torque Minimization Using Response Surface Methodology

Cited by 58 publications

References 4 publications

Design and analysis of a direct-drive wind power generator with ultra-high torque density

Design and analysis of a direct-drive wind power generator with ultra-high torque density

Design of Coaxial Magnetic Gear for Improvement of Torque Characteristics

Optimum Design for Improving Modulating-Effect of Coaxial Magnetic Gear Using Response Surface Methodology and Genetic Algorithm

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