Shape Optimal Design of a 9-pole 10-slot PMLSM for Detent Force Reduction Using Adaptive Response Surface Method

Baatar, Nyambayar; Yoon, Hyunsook; Pham, Minh Trien; Shin, Pan Seok; Koh, Chang Seop

doi:10.1109/tmag.2009.2022640

Cited by 53 publications

(17 citation statements)

References 8 publications

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“…However, it is not completely eliminated, which is mainly due to that the pole pitch changes from 10.00 mm to 10.03 mm and the machining error of the primary length. Thirdly, with the step-skewed auxiliary irons, the second harmonic is reduced from 1.86 N to 0.13 N. Meanwhile, the fundamental is reduced from 1.66 N to 0.57 N, which can be explained based on (18). Fig.…”

Section: Validation By Experimentsmentioning

confidence: 94%

“…However, the larger skewed length will increase the axial force and reduce the reciprocating range for the LPMSM with short stroke. Meanwhile, some Analysis and Minimization of Detent End Force in Linear Permanent Magnet Synchronous Machines L other methods have been investigated, such as shape optimization of the exterior teeth [18], current compensation [6], [19], and PM optimization [20], and each has both the advantages and disadvantages. For the LPMSM with short stroke, the secondary end effect is also non-negligible, while only limited literature has considered this problem [21].…”

Section: Introductionmentioning

confidence: 99%

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Analysis and Minimization of Detent End Force in Linear Permanent Magnet Synchronous Machines

Liu

Zhao

et al. 2018

IEEE Trans. Ind. Electron.

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Section: Validation By Experimentsmentioning

confidence: 94%

Section: Introductionmentioning

confidence: 99%

Analysis and Minimization of Detent End Force in Linear Permanent Magnet Synchronous Machines

Liu

Zhao

et al. 2018

IEEE Trans. Ind. Electron.

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“…Moreover, an optimization processor was usually coupled with a finite-element analysis (FEA) solver for the machine design optimization, which has a high computational cost. Design of experiments (DoE) [1]- [2], [7]- [12] and stochastic evolutionary methods [13]- [15] are two popular techniques employed for electric machine design optimization. DoE is a statistical method that effectively quantifies the effects of changes in design variables on machine responses.…”

mentioning

confidence: 99%

“…The OFAT method will become impractical when more design variables are considered, because the number of experiments increases exponentially with the number of design variables. The problem can be mitigated by using advanced DoE, such as the central composite design (CCD) [8]- [11] and the Latin hypercube design (LHD) [12]. These methods have been utilized in the machine design optimization problems with up to five design variables [8]- [12].…”

mentioning

confidence: 99%

“…The problem can be mitigated by using advanced DoE, such as the central composite design (CCD) [8]- [11] and the Latin hypercube design (LHD) [12]. These methods have been utilized in the machine design optimization problems with up to five design variables [8]- [12]. In the CCD, the sample points are only distributed at the corner and center of the design space, which makes it difficult to efficiently gather the global machine response information within a wide design space.…”

mentioning

confidence: 99%

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Multiobjective Optimization of Switched Reluctance Motors Based on Design of Experiments and Particle Swarm Optimization

2015

IEEE Trans. Energy Convers.

205

109

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Abstract-This paper proposes a comprehensive framework for multiobjective design optimization of switched reluctance motors (SRMs) based on a combination of the design of experiments and particle swarm optimization (PSO) approaches. First, the definitive screening design was employed to perform sensitivity analyses to identify significant design variables without bias of interaction effects between design variables. Next, optimal third-order response surface (RS) models were constructed based on the Audze-Eglais Latin hypercube design using the selected significant design variables. The constructed optimal RS models consist of only significant regression terms, which were selected by using PSO. Then, a PSObased multiobjective optimization coupled with the constructed RS models, instead of the finite-element analysis, was performed to generate the Pareto front with a significantly reduced computational cost. A sample SRM design with multiple optimization objectives, i.e., maximizing torque per active mass, maximizing efficiency, and minimizing torque ripple, was conducted to verify the effectiveness of the proposed optimal design framework.Index Terms-Design of experiments (DoE), multiobjective optimization, particle swarm optimization (PSO), response surface (RS), sensitivity analysis, switched reluctance motor (SRM).

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Survey of the mechanisms of power take-off (PTO) devices of wave energy converters

et al. 2020

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Ocean wave energy conversion as one of the renewable clean energy sources is attracting the research interests of many people. This review introduces different types of power take-off (PTO) technology of wave energy converters. The novelty of this paper is to present advantages and disadvantages of the linear direct and indirect drive PTO devices for ocean wave energy conversion. The designs and optimizations of PTO systems of ocean wave energy converters have been studied from reviewing the recently published literature. The novel mechanical designs of the PTO systems have been compared and investigated in order to increase the energy harvesting efficiency.

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Shape Optimal Design of a 9-pole 10-slot PMLSM for Detent Force Reduction Using Adaptive Response Surface Method

Cited by 53 publications

References 8 publications

Analysis and Minimization of Detent End Force in Linear Permanent Magnet Synchronous Machines

Analysis and Minimization of Detent End Force in Linear Permanent Magnet Synchronous Machines

Multiobjective Optimization of Switched Reluctance Motors Based on Design of Experiments and Particle Swarm Optimization

Survey of the mechanisms of power take-off (PTO) devices of wave energy converters

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