A Novel Computationally Efficient Finite Position Set-Phase Locked Loop for Low-Speed Sensorless IPMSM Control

A novel computationally efficient finite position set-phase locked loop (FPS-PLL) is proposed in this paper for low-speed sensorless inner permanent magnet synchronous motor (IPMSM) control. A novel equivalent position error is designed based on the complex operation of current responses, enabling the derivation of an improved Newton iteration formula. The iteration formula is convergent in the whole computational domain, so that the iterative operations about cost function for appropriate iterative initial value can be avoided. Only two iterations are required to obtain the finest rotor position, which is less than existing FPS-PLL schemes. No parameters need to be tuned and the fast dynamic response is achieved. The rotor speed is extracted by a tracking differentiator-based speed observer (TDSO) without introducing the differentiator. Finally, the effectiveness of proposed scheme is verified by experiment results.

Institutions

Publication Details

Published
2025-08-15
DOI
https://doi.org/10.1109/sled63792.2025.11154728
Primary Topic
Statistical Mechanics and Entropy
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Novel Computationally Efficient Finite Position Set-Phase Locked Loop for Low-Speed Sensorless IPMSM Control

Statistical Mechanics and Entropy
article

A Novel Computationally Efficient Finite Position Set-Phase Locked Loop for Low-Speed Sensorless IPMSM Control

article en

Abstract

A novel computationally efficient finite position set-phase locked loop (FPS-PLL) is proposed in this paper for low-speed sensorless inner permanent magnet synchronous motor (IPMSM) control. A novel equivalent position error is designed based on the complex operation of current responses, enabling the derivation of an improved Newton iteration formula. The iteration formula is convergent in the whole computational domain, so that the iterative operations about cost function for appropriate iterative initial value can be avoided. Only two iterations are required to obtain the finest rotor position, which is less than existing FPS-PLL schemes. No parameters need to be tuned and the fast dynamic response is achieved. The rotor speed is extracted by a tracking differentiator-based speed observer (TDSO) without introducing the differentiator. Finally, the effectiveness of proposed scheme is verified by experiment results.

Shaoxing University (CN), China University of Mining and Technology (CN), Xi'an Jiaotong University (CN)
Affordable and clean energy
Openalex Percentile: Top 49%
Statistical Mechanics and Entropy
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.