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 **ao, 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 …

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 …

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 …

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 …

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 …

Robust model predictive current control of PMSM based on nonlinear extended state observer

Z Zhang, Y Liu, X Liang, H Guo… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
The control performance of traditional model predictive control (MPC) usually deteriorates
dramatically with the permanent magnet synchronous motor (PMSM) parameter changes in …