Parameter Identification of PMSM Using Immune Clonal Selection Differential Evolution Algorithm
Joint Authors
Liu, Zhaohua
Zhang, Jing
Lin, Guohan
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-04-30
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Permanent magnet synchronous motor (PMSM) models with accurate parameters are crucial to high performance PMSM control system designs.
As the estimation of PMSM parameters is very difficult due to the nonlinear model complexity, a novel immune clonal differential evolution algorithm (ICDEA) is proposed to identify the electrical parameters of nonsalient pole PMSM.
Clonal selection and receptor editing mechanism are introduced to ICDEA to increase the diversity of the population and improve searching capability.
The effectiveness of the proposed identification method is verified by both simulation and experiment.
The results show that the proposed algorithm has good convergence in simultaneously estimating stator resistance, dq-axis inductances, and rotor flux linkage.
In addition, the convergence speed of ICDEA is compared with other differential evolution (DE) algorithms, which verifies that the ICDEA has better performances in global searching.
American Psychological Association (APA)
Lin, Guohan& Zhang, Jing& Liu, Zhaohua. 2014. Parameter Identification of PMSM Using Immune Clonal Selection Differential Evolution Algorithm. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-450683
Modern Language Association (MLA)
Lin, Guohan…[et al.]. Parameter Identification of PMSM Using Immune Clonal Selection Differential Evolution Algorithm. Mathematical Problems in Engineering No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-450683
American Medical Association (AMA)
Lin, Guohan& Zhang, Jing& Liu, Zhaohua. Parameter Identification of PMSM Using Immune Clonal Selection Differential Evolution Algorithm. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-450683
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-450683