Robust three-vector-based low-complexity model predictive current control with supertwisting-algorithm-based second-order sliding-mode observer for permanent magnet synchronous motor

This study presents a robust three-vector-based low-complexity model predictive current control with supertwisting-algorithm-based second-order sliding-mode observer for permanent magnet synchronous motor (PMSM). First, to reduce the computational complexity of the three-vector-based model predictiv...

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Veröffentlicht in:	IET power electronics Jg. 12; H. 11; S. 2895 - 2903
Hauptverfasser:	Xu, Yanping, Ding, Xianhua, Wang, Jibing, Wang, Chen
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	The Institution of Engineering and Technology 18.09.2019
Schlagworte:	angular velocity control computational complexity electric current control invertors machine control observers optimal voltage vector combination permanent magnet motors permanent magnet synchronous motor predictive control Research Article robust control robust three‐vector‐based low‐complexity model second‐order sliding‐mode observer supertwisting‐algorithm‐based synchronous motor drives synchronous motors three‐vector‐based model predictive current control torque control variable structure systems machine control optimal voltage vector combination angular velocity control second-order sliding-mode observer robust three-vector-based low-complexity model torque control synchronous motors electric current control invertors three-vector-based model predictive current control permanent magnet synchronous motor robust control synchronous motor drives predictive control permanent magnet motors supertwisting-algorithm-based observers variable structure systems computational complexity
ISSN:	1755-4535, 1755-4543
Online-Zugang:	Volltext
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