Nonlinear flux linkage modeling of a bearingless permanent magnet synchronous motor based on AW-LSSVM regression algorithm-Reference-Cited by-同舟云学术

Nonlinear flux linkage modeling of a bearingless permanent magnet synchronous motor based on AW-LSSVM regression algorithm

Published:2016-06-03 Issue:2 Volume:51 Page:151-159
ISSN:1383-5416
Container-title:International Journal of Applied Electromagnetics and Mechanics
language:
Short-container-title:JAE

Author:

Sun Xiaodong¹²,Su Bokai¹,Chen Long¹²,Yang Zebin³,Chen Jianfeng¹²,Zhang Weiyu³

Affiliation:

1. School of Automobile and Traffic Engineering, Jiangsu University, Zhenjiang, Jiangsu, China

2. Automotive Engineering Research Institute, Jiangsu University, Zhenjiang, Jiangsu, China

3. School of Electrical and Information Engineering, Jiangsu University, Zhenjiang, Jiangsu, China

Publisher

IOS Press

Subject

Electrical and Electronic Engineering,Mechanical Engineering,Mechanics of Materials,Condensed Matter Physics,Electronic, Optical and Magnetic Materials

Reference18 articles.

1. System-Level Design Optimization Method for Electrical Drive Systems-Robust Approach;Lei;IEEE Transactions on Industrial Electronics,2015

2. Four-axis vector-controlled dual-rotor PMSM for plug-in electric vehicles;Sant;IEEE Transactions on Industrial Electronics,2015

3. Techniques for multilevel design optimization of permanent magnet motors;Lei;IEEE Transactions on Energy Conversion,2015

4. System-Level Design Optimization Methods for Electrical Drive Systems: Deterministic Approach;Lei;IEEE Transactions on Industrial Electronics,2014

5. Nonlinear model analysis and ``switching model'' of AC-DC three-degree-of-freedom hybrid magnetic bearing;Zhang;IEEE/ASME Transactions on Mechatronics,2016

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