Journal of the Korean Society for Precision Engineering (한국정밀공학회지)

Korean Society for Precision Engineering (한국정밀공학회)
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A T-S Fuzzy Identification of Interior Permanent Magnet Synchronous

매입형 영구자석 동기전동기의 T-S 퍼지 모델링

  • Received : 2011.01.25
  • Accepted : 2011.02.16
  • Published : 2011.04.01
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Abstract

Control of interior permanent magnet (IPMSM) is difficult because its nonlinearity and parameter uncertainty. In this paper, a fuzzy c-regression models clustering algorithm which is based on T-S fuzzy is used to model IPMSM with a series linear model and weight them by memberships. Lagrangian of constrained function is built for calculating clustering centers where training output data are considered. Based on these clustering centers, least square method is applied for T-S fuzzy linear model parameters. As a result, IPMSM can be modeled as T-S fuzzy model for T-S fuzzy control of them.

Keywords

Acknowledgement

Supported by : 창원대학교

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