Technology development of electric vehicles: A review

X Sun, Z Li, X Wang, C Li - Energies, 2019 - mdpi.com
To reduce the dependence on oil and environmental pollution, the development of electric
vehicles has been accelerated in many countries. The implementation of EVs, especially …

High-power wind energy conversion systems: State-of-the-art and emerging technologies

V Yaramasu, B Wu, PC Sen, S Kouro… - Proceedings of the …, 2015 - ieeexplore.ieee.org
This paper presents a comprehensive study on the state-of-the-art and emerging wind
energy technologies from the electrical engineering perspective. In an attempt to decrease …

Latest advances of model predictive control in electrical drives—Part I: Basic concepts and advanced strategies

J Rodriguez, C Garcia, A Mora… - … on Power Electronics, 2021 - ieeexplore.ieee.org
The application of model predictive control in electrical drives has been studied extensively
in the past decade. This article presents what the authors consider the most relevant …

Model-free predictive current control of PMSM drives based on extended state observer using ultralocal model

Y Zhang, J Jin, L Huang - IEEE Transactions on Industrial …, 2020 - ieeexplore.ieee.org
Conventional model predictive current control (MPCC) is a powerful control strategy for three-
phase inverters that has the advantages of simple concept, quick response, easy …

A robust deadbeat predictive controller with delay compensation based on composite sliding-mode observer for PMSMs

X Sun, J Cao, G Lei, Y Guo, J Zhu - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
This article proposes an improved deadbeat predictive controller for permanent-magnet
synchronous motor drive systems. It can eliminate the influence of the parameter mismatch …

[HTML][HTML] Integral sliding mode control for DFIG based WECS with MPPT based on artificial neural network under a real wind profile

H Chojaa, A Derouich, SE Chehaidia, O Zamzoum… - Energy Reports, 2021 - Elsevier
Handling the internal parametric variations and the nonlinearities of the high rated wind
energy conversion system (WECS) is remained among the main challenges to maximize the …

Low-complexity multivector-based model predictive torque control for PMSM with voltage preselection

X Li, Z Xue, X Yan, L Zhang, W Ma… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In the double-vector-based model predictive torque control (MPTC), two voltage vectors are
applied in one control period. Due to a large number of possible combinations among …

A review of modulation and control techniques for multilevel inverters in traction applications

A Poorfakhraei, M Narimani, A Emadi - Ieee Access, 2021 - ieeexplore.ieee.org
Traction inverter has been the subject of many studies due to its essential role in the proper
performance of the drive system. With the recent trend in increasing the input voltage in …

[图书][B] Model predictive control of high power converters and industrial drives

T Geyer - 2016 - books.google.com
In this original book on model predictive control (MPC) for power electronics, the focus is put
on high-power applications with multilevel converters operating at switching frequencies …

Double vectors model predictive torque control without weighting factor based on voltage tracking error

X Zhang, B Hou - IEEE Transactions on Power Electronics, 2017 - ieeexplore.ieee.org
In order to reduce the computation burden and eliminate the weighting factor in conventional
model predictive torque control (MPTC), this paper proposes an improved MPTC algorithm …