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Clone selection-based parameter identification applied to permanent magnet synchronous motors

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3 Author(s)
Zhu Zhenzhen ; Sch. of Inf. & Eng., Univ. of Sci. & Technol., Beijing, China ; Xiao Xi ; Kang Qing

Parameter identification applied to Permanent Mmagnet Synchronous Motors become a research focus to improve servo control. The paper presents a new method which is clone selection-based parameter identification applied to PMSM. For comparison, the results of identification using the standard particle swarm optimization(SPSO) were also provided finally. It is concluded that the clone selection algorithm(CSA) remarkably improves the accuracy of parameters identification.

Published in:

Electrical Machines and Systems (ICEMS), 2010 International Conference on

Date of Conference:

10-13 Oct. 2010