2023
DOI: 10.1007/s00202-023-02038-4
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High precision tracking control for linear servo system based on intelligent second-order complementary sliding mode

Hongyan Jin,
Yunwei Gong,
Ximei Zhao
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Cited by 3 publications
(2 citation statements)
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“…Many scholars use the lumped parameter method to model electromechanical transmission systems [5][6][7][8][9][10][11][12]. Jin, HY [5] established the mathematical model of a permanent magnet linear synchronous motor (PMLSM) with uncertainties, that is, a second-order complementary sliding mode control (SOCSMC) with fast convergence and global robustness, to conquer the uncertainties and reduce chattering.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Many scholars use the lumped parameter method to model electromechanical transmission systems [5][6][7][8][9][10][11][12]. Jin, HY [5] established the mathematical model of a permanent magnet linear synchronous motor (PMLSM) with uncertainties, that is, a second-order complementary sliding mode control (SOCSMC) with fast convergence and global robustness, to conquer the uncertainties and reduce chattering.…”
Section: Introductionmentioning
confidence: 99%
“…Many scholars use the lumped parameter method to model electromechanical transmission systems [5][6][7][8][9][10][11][12]. Jin, HY [5] established the mathematical model of a permanent magnet linear synchronous motor (PMLSM) with uncertainties, that is, a second-order complementary sliding mode control (SOCSMC) with fast convergence and global robustness, to conquer the uncertainties and reduce chattering. Golzarzadeh M [6] presented a comprehensive thermal model based on the lumped parameter approach for STLSRM, which predicts temperature distribution in different parts of this motor, including slot winding, end-winding, stator pole, stator yoke, and the moving part.…”
Section: Introductionmentioning
confidence: 99%