Online parameter estimation for permanent magnet synchronous machines: An overview

ZQ Zhu, D Liang, K Liu - Ieee Access, 2021 - ieeexplore.ieee.org
Online parameter estimation of permanent magnet synchronous machines is critical for
improving their control performance and operational reliability. This paper provides an …

Model-free predictive control of motor drives and power converters: A review

M Khalilzadeh, S Vaez-Zadeh, J Rodriguez… - Ieee …, 2021 - ieeexplore.ieee.org
Predictive control has emerged as a promising control method in a variety of technological
fields. Model predictive control, as one of the subdivisions of this control method, has found …

Finite control set model-free predictive current control of PMSM with two voltage vectors based on ultralocal model

Z Sun, Y Deng, J Wang, T Yang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Model-free predictive current control (MFPCC) that only needs the input and output data of
the system can eliminate the influence of the motor parameters mismatch. In the …

Model predictive control for electrical drive systems-an overview

F Wang, X Mei, J Rodriguez… - CES Transactions on …, 2017 - ieeexplore.ieee.org
This paper reviews the classification and application of the model predictive control (MPC) in
electrical drive systems. Main attention is drawn to the discrete form of MPC, ie finite control …

Robust model predictive control for a three-phase PMSM motor with improved control precision

S Niu, Y Luo, W Fu, X Zhang - IEEE Transactions on Industrial …, 2020 - ieeexplore.ieee.org
This article proposes a novel model predictive control for a three-phase permanent-magnet
synchronous motor (PMSM) with enhanced robustness against parameter variation and …

A 149 Line Homogenization Code for Three-Dimensional Cellular Materials Written in matlab

G Dong, Y Tang, YF Zhao - Journal of …, 2019 - asmedigitalcollection.asme.org
Cellular architectures are promising in a variety of engineering applications due to attractive
material properties. Additive manufacturing has reduced the difficulty in the fabrication of …

Predictive torque control of induction motor based on a robust integral sliding mode observer

MS Mousavi, SA Davari, V Nekoukar… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
The parameter estimators and the disturbance observers are two widely used methods for
the robustness improvement of the model predictive control schemes. This article presents a …

Robust continuous model predictive speed and current control for PMSM with adaptive integral sliding-mode approach

Z Li, F Wang, D Ke, J Li, W Zhang - IEEE Transactions on Power …, 2021 - ieeexplore.ieee.org
Model predictive control has been considered as a potential alternative method in electrical
drives. High reliable predictive model design is a research hotspot. To further improve the …

Generalized proportional integral observer based robust finite control set predictive current control for induction motor systems with time-varying disturbances

J Wang, F Wang, G Wang, S Li… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
During the past few years, finite control set predictive current control (PCC) method has
attracted more and more attention in research and industry applications. However, PCC …

Prediction model with harmonic load current components for FCS-MPC of an uninterruptible power supply

S Vazquez, E Zafra, RP Aguilera… - … on Power Electronics, 2021 - ieeexplore.ieee.org
A finite control set model predictive control (FCS-MPC) strategy consists of a prediction
model, a cost function and an optimization algorithm. Consequently, the performance of the …