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28-05-2024 | Original Paper

High-precision position tracking control for permanent magnet linear servo system

Authors: Hongyan Jin, Ran Teng, Ximei Zhao

Published in: Electrical Engineering | Issue 6/2024

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Abstract

The article introduces a high-precision position tracking control method for permanent magnet linear synchronous motors (PMLSMs), widely used in industrial robots and precision machinery. PMLSMs are prone to uncertainties such as parameter variations and external disturbances, which can affect their performance. To address these challenges, various control methods like adaptive control, neural networks, and sliding mode control have been employed. The proposed method combines a second-order sliding mode controller (SOSMC) with a recurrent radial basis function neural network (RBFNN) to increase robustness and reduce chattering. The SOSMC uses a PID sliding surface and a sinusoidal saturation function to enhance control accuracy and stability. The recurrent RBFNN is used to estimate uncertainties and improve tracking performance with a low computational burden. Experimental results demonstrate that the proposed method significantly enhances tracking accuracy, response speed, and robustness against uncertainties.

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Metadata
Title
High-precision position tracking control for permanent magnet linear servo system
Authors
Hongyan Jin
Ran Teng
Ximei Zhao
Publication date
28-05-2024
Publisher
Springer Berlin Heidelberg
Published in
Electrical Engineering / Issue 6/2024
Print ISSN: 0948-7921
Electronic ISSN: 1432-0487
DOI
https://doi.org/10.1007/s00202-024-02478-6