An Optimal Material Distribution Design of Brushless DC Motor by Genetic Algorithm Considering a Cluster of Material

Ishikawa, Takeo; Yonetake, Kouki; Kurita, Nobuyuki

doi:10.1109/tmag.2010.2093572

Cited by 22 publications

(4 citation statements)

References 12 publications

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“…To carry out TO for the SRM considering all the core body, around 1500 discrete parameters should be involved. This leads to a high number of calculations being needed to analyze the influences of these parameters on the objective function [17].…”

Section: Introductionmentioning

confidence: 99%

Sensitivity Analysis for Multi-Objective Optimization of Switched Reluctance Motors

et al. 2022

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The main issue of the switched reluctance motor (SRM) is its noise and vibration caused by high torque ripples on the rotor’s shaft. Many methods have been developed for improving the torque characteristic of the SRM. For example, design optimization is one of the promising approaches to the noise and vibration reduction of the SRM. Particularly, topology optimization (TO) of the stator and rotor can be highly beneficial to addressing the torque ripple issue. However, the TO of the SRM appears to be computationally demanding. To overcome this issue, this study proposes a method aiming to reduce the computational complexity of the TO through the reduction of the design space. Particularly, this paper presents a sensitivity analysis of a list of unique design parameters of the SRM and their influence on the average torque of the motor and the torque ripple of the motor. By applying the sensitivity analysis, the design space of the TO could be reduced, leading to a considerable decrease in the TO computational burden. Additionally, valuable conclusions on the geometrical parameters’ influences on the SRM torque and torque ripple have been drawn.

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Section: Introductionmentioning

confidence: 99%

Sensitivity Analysis for Multi-Objective Optimization of Switched Reluctance Motors

et al. 2022

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“…Therefore, they are very promising methods [1]. The authors proposed a topology optimization method to optimize the distribution of materials within an electrical machine using the Genetic algorithm (GA) [2], and then introduced a concept of cluster and a cleaning procedure of materials [3,4]. Moreover, the obtained rotor structure was assumed initially to consist of simple shape of PMs in order to consider ease of manufacturing [5,6].…”

Section: Introductionmentioning

confidence: 99%

Characteristics of a Permanent Magnet Synchronous Machine Designed by a Topology Optimization Method

Ishikawa

Mizuno

Kurita

2016

MSF

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The rotor geometry of a permanent magnet (PM) machine greatly affects the machine performance and therefore, it is very important to develop an initial conceptual structural topology of a PM rotor. We proposed an optimization method which is the combination of a topology optimization method and a method taking into account ease of manufacturing. This paper has manufactured an optimized rotor of a PM synchronous machine. Experimental results show that when operating as a generator, the designed machine has 46 % higher output voltage than that of a commercialized one. The efficiency of the designed machine is improved by about 2 % comparing with the commercialized machine. Therefore, it is experimentally confirmed that the optimized PM machine has a better performance than the commercialized one.

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“…We proposed a topology optimization method to optimize the distribution of materials within an electrical machine using the GA (22) . In addition, we proposed a concept for the cluster of materials and a cleaning procedure for the materials, and we designed the stator of a brushless DC motor based on this method (23) . However, that study considered only two types of materials, air and iron, and therefore, it is similar to the ON/OFF method.…”

Section: Introductionmentioning

confidence: 99%

Topology Optimization of Rotor Structure in Permanent Magnet Synchronous Motors Considering Ease of Manufacturing

2015

Self Cite

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This paper designs the rotor structure for two types of permanent magnet synchronous motors. The proposed optimization method combines a topology optimization method, which uses a genetic algorithm and a cleaning procedure, and a method considering ease of manufacturing. The designed rotor of a compressor motor for an air conditioner has 32% higher average torque than that of a conventional motor. The designed rotor has a larger torque/current than that of a hybrid vehicle motor at a low output power.

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An Optimal Material Distribution Design of Brushless DC Motor by Genetic Algorithm Considering a Cluster of Material

Cited by 22 publications

References 12 publications

Sensitivity Analysis for Multi-Objective Optimization of Switched Reluctance Motors

Sensitivity Analysis for Multi-Objective Optimization of Switched Reluctance Motors

Characteristics of a Permanent Magnet Synchronous Machine Designed by a Topology Optimization Method

Topology Optimization of Rotor Structure in Permanent Magnet Synchronous Motors Considering Ease of Manufacturing

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