Finite-control-set model predictive control of permanent magnet synchronous motor drive systems—An overview

T Li, X Sun, G Lei, Y Guo, Z Yang… - IEEE/CAA Journal of …, 2022 - ieeexplore.ieee.org
Permanent magnet synchronous motors (PMSMs) have been widely employed in the
industry. Finite-control-set model predictive control (FCS-MPC), as an advanced control …

Recent achievements in model predictive control techniques for industrial motor: A comprehensive state-of-the-art

MF Elmorshedy, W Xu, FFM El-Sousy, MR Islam… - IEEE …, 2021 - ieeexplore.ieee.org
Model predictive control (MPC), manly based on a direct use of an explicit and identifiable
model, has been widely used in controller design in different applications both by academia …

Torque ripple minimization of PMSM using an adaptive Elman neural network‐controlled feedback linearization‐based direct torque control strategy.

S Krishnamoorthy, P Sanjeevikumar… - … on Electrical Energy …, 2021 - search.ebscohost.com
Torque ripple and harmonics in permanent magnet synchronous motor (PMSM) cause
negative impacts on its speed control and overall efficiency. In this article, an Elman neural …

A finite control set model predictive direct speed controller for PMSM application with improved parameter robustness

F Xiao, Z Chen, Y Chen, H Liu - International Journal of Electrical Power & …, 2022 - Elsevier
Abstract Model predictive control (MPC) is an advanced control method that relies on a
mathematical model containing the motor parameters in the field of Permanent Magnet …

Overview of predictive control technology for permanent magnet synchronous motor systems

J Peng, M Yao - Applied Sciences, 2023 - mdpi.com
Permanent magnet synchronous motors (PMSMs) are commonly used in the automation
industry. With the speedy development of digital system processors, predictive control as a …

[PDF][PDF] 永磁同步电机幅值控制集模型预测控制策略

张珍睿, 刘彦呈, 陈九霖, 郭昊昊… - 电工技术学报, 2022 - dgjsxb.ces-transaction.com
摘要传统有限约束集模型预测控制方法仅利用二电平电压源型逆变器的六个有效空间电压矢量
和两个零矢量作为控制集合, 致使永磁同步电机的相电流中存在较高的电流谐波. 针对这一问题 …

Surrogate modeling of electrical machine torque using artificial neural networks

M Tahkola, J Keränen, D Sedov, MF Far… - IEEE …, 2020 - ieeexplore.ieee.org
Machine learning and artificial neural networks have shown to be applicable in modeling
and simulation of complex physical phenomena as well as creating surrogate models …

Effective position error compensation in sensorless control based on unified model of SPMSM and IPMSM

M Zhao, G Liu, Q Chen, Z Liu, X Zhu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Sliding-mode observer (SMO) has attracted extensive attention in the field of medium-and
high-speed sensorless control of permanent magnet synchronous motor (PMSM) because of …

An improved robust model predictive speed control with inertia identification for PMSM drives in electro-hydrostatic actuator

T Wang, G Luo, Z Chen, W Tu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Electrohydrostatic actuator (EHA), composed of permanent-magnet motors, is an integrated
local hydraulic actuation system and has been utilized as the flight surface actuation in …

Robust adaptive resonant controller for PMSM speed regulation considering uncertain periodic and aperiodic disturbances

M Tian, B Wang, Y Yu, Q Dong… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This article studies a robust adaptive resonant controller (RARC) for the speed loop of
permanent magnet synchronous motor (PMSM) drives to attenuate periodic speed …