Speed Sensorless Control of IPMSM With Model Predictive Current Control Plus Finite Position Set MRAS Observer

This article introduces an improved model predictive current control (MPCC) with the finite position set model reference adaptive system (FPS-MRAS) observer for speed sensorless control of an interior permanent-magnet synchronous motor (IPMSM). The voltage and current at the (k)th moment are used to calculate the back electromotive force (EMF), which will predict the current at the (<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">${k} +1$ </tex-math></inline-formula>)th moment. Otherwise, the current delay compensation is introduced to further improve the dynamic performance and solve the delay problem. The FPS-MRAS is proposed to replace the traditional proportional-integral (PI) controller, which usually needs lots of work to tune the parameters. The discrete rotor position angles are used to calculate discrete stator fluxes, which are applied to form the cost function. An iterative algorithm with the binary circle is introduced to increase the estimation accuracy with finite angles. In the end, the dynamic performance of these methods is compared via experiments under different conditions.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Transportation Electrification
Published
2024-09-30
DOI
https://doi.org/10.1109/tte.2024.3471083
Citations
7
Primary Topic
Sensorless Control of Electric Motors
Type
article
Field-Weighted Citation Impact
1.46

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Speed Sensorless Control of IPMSM With Model Predictive Current Control Plus Finite Position Set MRAS Observer

Yifei Yang, Feng Cai, Xiaodong Sun
7 citations
IEEE Transactions on Transportation Electrification
Sensorless Control of Electric Motors
1.46
article

Speed Sensorless Control of IPMSM With Model Predictive Current Control Plus Finite Position Set MRAS Observer

Yifei Yang, Feng Cai, Xiaodong Sun
article en
7 citations

Abstract

This article introduces an improved model predictive current control (MPCC) with the finite position set model reference adaptive system (FPS-MRAS) observer for speed sensorless control of an interior permanent-magnet synchronous motor (IPMSM). The voltage and current at the (k)th moment are used to calculate the back electromotive force (EMF), which will predict the current at the (<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">${k} +1$ </tex-math></inline-formula>)th moment. Otherwise, the current delay compensation is introduced to further improve the dynamic performance and solve the delay problem. The FPS-MRAS is proposed to replace the traditional proportional-integral (PI) controller, which usually needs lots of work to tune the parameters. The discrete rotor position angles are used to calculate discrete stator fluxes, which are applied to form the cost function. An iterative algorithm with the binary circle is introduced to increase the estimation accuracy with finite angles. In the end, the dynamic performance of these methods is compared via experiments under different conditions.

IEEE Transactions on Transportation ElectrificationVol. 11(1)
Jiangsu University (CN), Suzhou Vocational University (CN)
Qinglan Project of Jiangsu Province of China
Affordable and clean energy
Openalex Percentile: Top 18%
Sensorless Control of Electric Motors
1.46
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.