Optimization of Rotor of Actual IPM Motor Using ON/OFF Method

Takahashi, Norio; Yamada, T.; Shimose, S; Miyagi, Daisuke

doi:10.1109/tmag.2010.2085033

Cited by 31 publications

(10 citation statements)

References 16 publications

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“…The average torque T 0 and the iron loss W 0 of this model are described in Fig.3. The stator structure of this model is based on the IEEJ D-model [7,11] whose specifications are summarized in Table I. In the FE analysis, the nonlinear magnetic property of the core, which is assumed to be made of 50A470, is considered.…”

Section: Optimizations Of Synrmmentioning

confidence: 99%

“…However, the level set method has difficulties in evaluation of iron losses which are often expressed by a non-differentiable function. On the other hand, the stochastic topology optimization method called on/off method [7] can easily treat with the nondifferentiable objective functions. There are little studies on performance of the on/off method applied to optimization of SynRMs.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Topology Optimization of Synchronous Reluctance Motor Using Normalized Gaussian Network

2015

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This paper presents the topology optimization of a synchronous reluctance motor using the normalized Gaussian network. In the optimization, the average torque and iron loss are considered. In the resultant motor, the area of the rotor surface adjacent to the stator is found to be reduced when the weight for the iron loss is sufficiently large. On the other hand, large flux barriers present in the rotor when the average torque is maximized without considering the iron loss.

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Section: Optimizations Of Synrmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Topology Optimization of Synchronous Reluctance Motor Using Normalized Gaussian Network

2015

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“…In addition, it is required to reduce the product cost of PM motors. Many researchers have studied motor design methods [1], [2], [3], [4], and, over recent years, an optimal design method has attracted attention. It was reported that the shape of a PM motor, ased on such parameters as teeth width, teeth length, magnet size, etc., was optimally designed for the purpose of increasing the efficiency under a torque [1].…”

Section: Introductionmentioning

confidence: 99%

“…It was reported that the shape of a PM motor, ased on such parameters as teeth width, teeth length, magnet size, etc., was optimally designed for the purpose of increasing the efficiency under a torque [1]. Takahashi et al proposed an ON/OFF optimization method for an interior permanent magnet (IPM) motor design to reduce a torque ripple and enhance a driving torque [2]. The paper [3] proposed a robust optimization method of averaging a material characteristic variation for PM motor design.…”

Section: Introductionmentioning

confidence: 99%

Rational Design Optimization Method for Reducing Cost and Improving Performance of Commonalized IPM Motors

Noguchi

Matsutomo

2015

IEEE Trans. Magn.

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In this paper, we propose an economically-efficient optimal design method of different-size interior permanent magnet (IPM) motors to maximize their efficiency. Since the homothetic shape is used, the optimization design is, at once, performed. The use of the commonalized design can reduce the productive costs. Game theory is employed as an optimization method. The game theory can simultaneously increase the efficiency of all the interior permanent magnet motors with the common and homothetic shape. So far, there are no previous reports considering both the "economical efficiency" and the motor performance simultaneously. Therefore, the proposed optimal design method of the commonalized different-size interior permanent magnet motors using the game theory method achieves a high electrical efficiency in addition to the economical efficiency due to design optimization.

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“…In the parameter optimization, device shapes are expressed in terms of geometric parameters and optimization is conducted by changing them [1]- [2]. On the other hand, the topology optimization seeks for the optimum solutions directly varying the material shapes without geometric parameters [3]- [5]. For this reason, quite new device shapes could be found by the topology optimization.…”

Section: Introductionmentioning

confidence: 99%

Topology Optimization Method Based on On–Off Method and Level Set Approach

2014

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This paper proposes a two-step method for topology optimization, in which after global search is performed by the on-off method, and then local search is carried out by the level set approach. The genetic and gradient-based algorithms are employed for the former and latter optimizations, respectively. The present method is applied to two numerical examples; topology optimizations of a magnetic shield system and IPM-motor. It is shown that the present method can find solutions with better performances in comparison with the conventional on-off method.

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Optimization of Rotor of Actual IPM Motor Using ON/OFF Method

Cited by 31 publications

References 16 publications

Topology Optimization of Synchronous Reluctance Motor Using Normalized Gaussian Network

Topology Optimization of Synchronous Reluctance Motor Using Normalized Gaussian Network

Rational Design Optimization Method for Reducing Cost and Improving Performance of Commonalized IPM Motors

Topology Optimization Method Based on On–Off Method and Level Set Approach

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