Fuzzy and PNN-based direct torque control for permanent magnet synchronous motor

Hai Lin, Wei Sheng Yan, Hong Li

科研成果: 书/报告/会议事项章节会议稿件同行评审

2 引用 (Scopus)

摘要

This paper investigates an intelligence realization of direct torque control (DTC) in permanent magnet synchronous motor (PMSM) drives. The scheme is based on fuzzy logic con-trol (FLC) and probabilistic neural networks (PNN). The torque error and flux linkage error were all properly fuzzified into several subsets to select a middle state variable accurately, which is the linear function of flux linkage error and torque error. According to the inputs of the middle state variable and flux linkage angle, the proper switching states of the inverter are selected by the designed PNN. Then, a novel PNN and FLC based PMSM-DTC intelligence implementation scheme is presented in the paper. Simulation results show that the proposed strategy makes the torque and flux linkage ripple lower and current smoother dramatically and has a much better steady state performance while keeping a good dynamic performance compared with the basic one.

源语言英语
主期刊名2009 4th IEEE Conference on Industrial Electronics and Applications, ICIEA 2009
1606-1611
页数6
DOI
出版状态已出版 - 2009
活动2009 4th IEEE Conference on Industrial Electronics and Applications, ICIEA 2009 - Xi'an, 中国
期限: 25 5月 200927 5月 2009

出版系列

姓名2009 4th IEEE Conference on Industrial Electronics and Applications, ICIEA 2009

会议

会议2009 4th IEEE Conference on Industrial Electronics and Applications, ICIEA 2009
国家/地区中国
Xi'an
时期25/05/0927/05/09

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