A Model Predictive Torque Control With Power Factor Improvement Without Weighting Factor Adjustment

In motor control system, when inverter capacity is fixed, the increase of power factor is conducive to improving the motor overload capacity, thus improving the operation stability. A model predictive torque control (MPTC) of permanent magnet synchronous motor (PMSM) with power factor improvement and no weighting factor adjustment is proposed. Because error between the predictive and reference values of torque and flux linkage can be determined by the complex power error, the complex power error of same dimension can be used to replace the flux linkage error and torque error in the cost function of traditional MPTC. Therefore, the complicated adjustment process of weighting factor between torque and flux linkage is avoided. The introduction of power regulation coefficient <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">m</i> is aimed at improving the power factor of the motor system. When there is no need for a higher power factor, <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">m</i> = 1. When there is a need for higher power factor, <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">m</i> ≠ 1. By giving the easy selection principle and reasonable value of <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">m</i>, the reactive power occupancy can be appropriately reduced under good steady-state performance to improve the power factor of the motor. Simulation and experiments demonstrate the effectiveness of the method proposed in this paper.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Energy Conversion
Published
2024-12-24
DOI
https://doi.org/10.1109/tec.2024.3522006
Citations
2
Primary Topic
Electric and Hybrid Vehicle Technologies
Type
article
Field-Weighted Citation Impact
0.41
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Model Predictive Torque Control With Power Factor Improvement Without Weighting Factor Adjustment

Haobo Xu, Haotian Xie, Hongfeng Li
2 citations
IEEE Transactions on Energy Conversion
Electric and Hybrid Vehicle Technologies
0.41
article

A Model Predictive Torque Control With Power Factor Improvement Without Weighting Factor Adjustment

Haobo Xu, Haotian Xie, Hongfeng Li
article en
2 citations

Abstract

In motor control system, when inverter capacity is fixed, the increase of power factor is conducive to improving the motor overload capacity, thus improving the operation stability. A model predictive torque control (MPTC) of permanent magnet synchronous motor (PMSM) with power factor improvement and no weighting factor adjustment is proposed. Because error between the predictive and reference values of torque and flux linkage can be determined by the complex power error, the complex power error of same dimension can be used to replace the flux linkage error and torque error in the cost function of traditional MPTC. Therefore, the complicated adjustment process of weighting factor between torque and flux linkage is avoided. The introduction of power regulation coefficient <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">m</i> is aimed at improving the power factor of the motor system. When there is no need for a higher power factor, <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">m</i> = 1. When there is a need for higher power factor, <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">m</i> ≠ 1. By giving the easy selection principle and reasonable value of <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">m</i>, the reactive power occupancy can be appropriately reduced under good steady-state performance to improve the power factor of the motor. Simulation and experiments demonstrate the effectiveness of the method proposed in this paper.

IEEE Transactions on Energy ConversionVol. 40(3)
Tianjin University (CN), Chinese Academy of Sciences (CN), Quanzhou Institute of Equipment Manufacturing Haixi Institute (CN)
Affordable and clean energy
Openalex Percentile: Top 38%
Electric and Hybrid Vehicle Technologies
0.41
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A Model Predictive Torque Control With Power Factor Improvement Without Weighting Factor Adjustment — Haobo Xu, Haotian Xie, et al. · IEEE Transactions on Energy Conversion (2024) | TGRS Research Map | TGRS