标题:An optimized predictive current control for induction machines with a parallel cost function
作者:Wang, Fengxiang ;Zuo, Kunkun ;Xia, Anjun ;Zhang, Zhenbin ;Zhang, Yongchang ;Rodriguez, Jose
作者机构:[Wang, Fengxiang ;Zuo, Kunkun ;Xia, Anjun ] Quanzhou Institute of Equipment Manufacturing, Haixi Institutes, Chinese Academy of Sciences, Fujian, Chin 更多
会议名称:2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2019
会议日期:31 May 2019 through 2 June 2019
来源:Proceedings - PRECEDE 2019: 2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics
出版年:2019
DOI:10.1109/PRECEDE.2019.8753226
关键词:Cost function; Induction machine; Model predictive control; Predictive current control; Weighting factor
摘要:Based on the finite control set predictive current control, a parallel control strategy is proposed in this paper. According to the characteristic of current control in electric drive system, a new predictive current control algorithm, which designs two parallel cost functions to evaluate all possible voltage vectors and uses an adaptive selection strategy to select the optimal one, is formulated. In particular, this algorithm eliminates the monotonous weighting factor tuning work and achieves better control performance simultaneously. The effectiveness of proposed algorithm has been confirmed by experimental results in induction machine system. © 2019 IEEE.
收录类别:EI;SCOPUS
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85069491775&doi=10.1109%2fPRECEDE.2019.8753226&partnerID=40&md5=ad712f2c81471647d67da79d87363507
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