@inproceedings{8f7ff2518a3c43e7892c81b850afcd27,
title = "Finite-control-set model predictive flux-linkage control without weighting factor for dual-permanent-magnet-excited motor drives",
abstract = "Due to their high power density and torque density, dual-permanent-magnet-excited motors (DPMEMs) have been becoming strong competitors in in direct-drive applications. Model predictive control (MPC) is an attractive and an alternative strategy for electric drives because of its simple implementation, straightforward handling of nonlinearities and constraints, and good dynamic performance. Nevertheless, there has been little research on MPC for DPMEMs up till now. Moreover, tuning weighting factors is an annoying work for MPC due to the lack of theoretical design method. This paper is to propose, design and verify a finite-control-set model predictive flux-linkage control without weighting factor for DPMEMs.",
keywords = "Electric drive, Field modulated, Permanent-magnet machine, Predictive control, Torque density, Vernier machine",
author = "Yujun Shi and Ching, \{T. W.\} and Ziyun Shao and Linni Jian",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE Vehicle Power and Propulsion Conference, VPPC 2019 ; Conference date: 14-10-2019 Through 17-10-2019",
year = "2019",
month = oct,
doi = "10.1109/VPPC46532.2019.8952322",
language = "英语",
series = "2019 IEEE Vehicle Power and Propulsion Conference, VPPC 2019 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2019 IEEE Vehicle Power and Propulsion Conference, VPPC 2019 - Proceedings",
address = "美国",
}