Research on the improvement of sliding mode controller of PMSM

This paper reviews the improvement and optimization methods of sliding mode controllers for permanent magnet synchronous motors (PMSM), introducing their basic concepts and significance in motor control. First, the application of the traditional sliding mode speed controller in PMSM vector control is described in detail, providing the relevant equations and theoretical foundations. The paper focuses on summarizing several improvement and optimization methods for sliding mode controllers, including improved observers, improved sliding mode control functions, and the design of new reaching laws. In terms of improved observers, optimizing the structure and algorithms of observers has enhanced the system's anti-interference capability and observation accuracy. Regarding improved sliding mode control functions, smoother control functions have been adopted, effectively reducing the chattering phenomenon. For the design of new reaching laws, several new schemes have been proposed, further enhancing the system's dynamic performance and robustness. This paper specifically discusses the advantages and disadvantages of these improvement methods, as well as the effectiveness and improvement effects of each method. Finally, the paper looks forward to the future development trends of sliding mode controllers in PMSM control, pointing out future research directions and potential research hotspots.

Authors

Institutions

Publication Details

Journal
IET conference proceedings.
Published
2025-01-01
DOI
https://doi.org/10.1049/icp.2024.4035
Primary Topic
Industrial Technology and Control Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research on the improvement of sliding mode controller of PMSM

Chuhang Zong
IET conference proceedings.
Industrial Technology and Control Systems
article

Research on the improvement of sliding mode controller of PMSM

Chuhang Zong
article en

Abstract

This paper reviews the improvement and optimization methods of sliding mode controllers for permanent magnet synchronous motors (PMSM), introducing their basic concepts and significance in motor control. First, the application of the traditional sliding mode speed controller in PMSM vector control is described in detail, providing the relevant equations and theoretical foundations. The paper focuses on summarizing several improvement and optimization methods for sliding mode controllers, including improved observers, improved sliding mode control functions, and the design of new reaching laws. In terms of improved observers, optimizing the structure and algorithms of observers has enhanced the system's anti-interference capability and observation accuracy. Regarding improved sliding mode control functions, smoother control functions have been adopted, effectively reducing the chattering phenomenon. For the design of new reaching laws, several new schemes have been proposed, further enhancing the system's dynamic performance and robustness. This paper specifically discusses the advantages and disadvantages of these improvement methods, as well as the effectiveness and improvement effects of each method. Finally, the paper looks forward to the future development trends of sliding mode controllers in PMSM control, pointing out future research directions and potential research hotspots.

IET conference proceedings.Vol. 2024(19)
North China Electric Power University (CN)
Affordable and clean energy
Openalex Percentile: Top 99%
Industrial Technology and Control Systems
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.