@inproceedings{3ed50e1a982e4b979b2e3d48666f8f12,
title = "An optimized predictive current control for induction machines with a parallel cost function",
abstract = "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.",
keywords = "Cost function, Induction machine, Model predictive control, Predictive current control, Weighting factor",
author = "Fengxiang Wang and Kunkun Zuo and Anjun Xia and Zhenbin Zhang and Yongchang Zhang and Jose Rodriguez",
year = "2019",
month = may,
day = "1",
doi = "10.1109/PRECEDE.2019.8753226",
language = "English",
series = "Proceedings - PRECEDE 2019: 2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "Proceedings - PRECEDE 2019",
address = "United States",
note = "2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2019 ; Conference date: 31-05-2019 Through 02-06-2019",
}