Overview of Position-Sensorless Technology for Permanent Magnet Synchronous Motor Systems

Y Xu, M Yao, X Sun - World Electric Vehicle Journal, 2023 - mdpi.com
In recent years, permanent magnet synchronous motors (PMSMs) have been widely used in
industry. Position-sensorless control has the advantages of reducing costs and improving …

Continuous-control-set model-free predictive fundamental current control for PMSM system

F Wang, Y Wei, H Young, D Ke, H Xie… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Although the robustness is enhanced essentially by the model-free predictive control, the
accuracy of its data-driven model is directly affected by the unnecessary current harmonics …

A review on positioning uncertainty in motion control for machine tool feed drives

L Quan, W Zhao - Precision Engineering, 2024 - Elsevier
The feed system is a typical mechatronics system, as well as motion control equipment, that
serves as a fundamental component of CNC machine tools. Developing a precise …

Data-driven model predictive control for redundant manipulators with unknown model

J Yan, L Jin, B Hu - IEEE Transactions on Cybernetics, 2024 - ieeexplore.ieee.org
The tracking control of redundant manipulators plays a crucial role in robotics research and
generally requires accurate knowledge of models of redundant manipulators. When the …

Continuous control set model predictive control for the optimal current control of permanent magnet synchronous motors

MH Karimi, MA Rostami, H Zamani - Control Engineering Practice, 2023 - Elsevier
This paper proposes a Continuous Control Set Model Predictive Control (CCS-MPC) for
controlling the internal loop of Permanent Magnet Synchronous Motors (PMSMs). The …

Long-Prediction Horizon FCS-MPC for Multiphase Electric Drives With a Selective Control Action Promotion

J Carrillo-Ríos, I González-Prieto… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Model predictive control (MPC) is an interesting regulation solution in the field of multiphase
electric drives. Its performance has been improved from different perspectives, but most …

A Simple Multistep Solution for Model Predictive Control in Multiphase Electric Drives

I González-Prieto, MJ Duran… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
The multiphase electric drive field of research is rather young, and most of the efforts in this
area have been focused on appropriately extending different techniques that were already …

Learning and outperforming the model predictive control with a linear ϵ-support vector machine for power converter

Z Yang, J Zeng, A De La Cruz - IEEE Transactions on Industrial …, 2023 - ieeexplore.ieee.org
This article presents a linear ϵ error insensitive support vector machine (ϵ-SVM) learned
from the model predictive control (MPC) with very limited training samples. Unlike the …

Direct Model Predictive Control of Fuel Cell and Ultra-Capacitor Based Hybrid Electric Vehicle

FZ ul Abideen, HA Khalid, MS Khan, H Rehman… - IEEE …, 2024 - ieeexplore.ieee.org
Considering climate change, hybrid electric vehicles (HEVs) provide a clean alternative for
transportation. This study presents an HEV with a fuel cell and ultra-capacitor connected in a …

Active-Damping-Based Field-Weakening Control Strategy With Voltage Angle Regulation for High-Speed SPMSM Drive

R Jing, D Ding, G Zhang, Q Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The field-weakening (FW) control strategy with voltage angle regulation has the advantages
of fast speed and current response by directly decoupling the voltages. For suppressing the …