The Application of the Niching Genetic Algorithm to Optimum Design of the YKK Series Induction Motor

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Abstract:

In order to get the YKK series motors to the ultimate purpose of achieving energy-efficient, and to meet the various request constraints set forth in the in the actual production, the paper introduces the niche genetic algorithm to the optimization of the motor design. For the forming structure of medium-sized high-voltage stator coils and the actual situation of three round relative fixed size, this article makes a corresponding improvements to the niche genetic algorithm, the proposed approach surmounts effectively the local convergence problem of standard genetic algorithm. The experimental results demonstrate that: compared with the initial program, the ultimate design results of the electrical motors meet the technical specifications of the proposed efficiency motor. Furthermore, the size of motor has been reduced, which saves the effective materials of the motor. It prove the feasibility and advantages of niche genetic algorithm’ improvement, and more important is, it verify the practical engineering value.

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Periodical:

Advanced Materials Research (Volumes 383-390)

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453-458

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November 2011

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] Zhennan Fan, Li Han. Overview about the Optimization Design of Electrical Machines. [J]. Electric Machines & Control Application, 2006. 33(8):3~7.

Google Scholar

[2] Shiyuan Chen, Shipeng Huang. AC Motor Winding Theory[M]. Beijing: China Electric Power Press, 2007, 7.

Google Scholar

[3] Jae-Hak Choi, Tae Heoung Kim, Jang, K. B. Geometric and electrical optimization design of SR motor based on progressive quadratic respons esurface method. Magnetics[J], IEEE Transactions, 2003, 5(39):3421~3243.

DOI: 10.1109/tmag.2003.816734

Google Scholar

[4] Xiaoping Wang, Liming Cao. Genetic Algorithm-Theory, Application and Software Implementation. Xi'an: Xi'an Jiaotong University Press, 2002, 1: 74~76.

Google Scholar

[5] Lihua Yuan, Ming Li, etc. Multiple hump function optimization based on niche genetic algorithm[J]. Journal of Nanchang Hangkong University(Natural Sciences), No. 4 Dec. 2008:1~4.

Google Scholar

[6] Derong Wu, Jingchuan Li, etc. Design Optimization of Series Electrical Machines Using Genetic Algorithms [J]. Journal of Xi'an Jiaotong University, 1999,No. 2 Feb.: 14~17.

Google Scholar

[7] Xiaozhu Xu, Xudong Wang, etc. Optimal Design of Permanent Magnet Linear Synchronous Motor Using an Improved Niching Genetic Algorithm[C]. 2006 National Linear Motor Annual Conference. 62~67.

Google Scholar

[8] Aimin Liu, Shen Lin. Optimization design to linear induction motor used in circuit breaker operating mechanism[J]. Electric Machines and Control. 2009, 13(4). 528~532.

Google Scholar

[9] Dong-Hyeok Cho, Hyun-Kyo Jung, Tae-Kyung Chung, and Cheol-Gyun Lee. Design of a Short-Time Rating Interior Permanent Magnet Synchronous Motor Using a Niching Genetic Algorithm [J]. IEEE TRANSACTIONS ON MAGNETICS, VOL. 36, NO. 4, JULY 2000. 1936~1940 Table 1 Comparison of efficiency of the motor before and after the optimization Specification Original calculated value Genetic algorithm optimal value Improve niche genetic algorithm optimal value Improve efficiency/% 450 kW.

DOI: 10.1109/20.877826

Google Scholar

62 500 kW.

Google Scholar

59 560 kW.

Google Scholar

57 630 kW.

Google Scholar

58 Table2 Comparison of effective material of the motor before and after the optimization Specification 45 kW 500 kW 560 kW 630 kW Original program Current program Original program Current program Original program Current program Original program Current program Stator outer diameter /mm 670 630 670 630 740 630 740 630 Stator inside diameter /mm 370 350 370 350 400 350 400 350 Core length /mm 500 430 560 480 540 530 620 590 Material comparison Silicon-steel sheet weight /kg 1430. 3 1088. 2 1596. 6 1205. 8 1866. 5 1323. 5 2150. 6 1470. 5 Stator winding copper weight kg 240. 6 162. 8 258. 7 173. 9 215. 6 184. 4 227. 4 198. 9 Roter copper bar weight kg.

Google Scholar

[45] 1.

Google Scholar

[38] 9.

Google Scholar

[48] 1.

Google Scholar

[41] 2.

Google Scholar

[53] 0.

Google Scholar

[45] 7.

Google Scholar

[57] 2.

Google Scholar

[49] 3 Motor steel weight reduce.

Google Scholar

[23] 92.

Google Scholar

[24] 48.

Google Scholar

[29] 09.

Google Scholar

[31] 62 Motor copper weight reduce.

Google Scholar

[29] 40.

Google Scholar

[29] 89.

Google Scholar

[14] 34.

Google Scholar

[16] 30.

Google Scholar