4.8 Article

An Improved Adaptive Sliding Mode Observer for Middle- and High-Speed Rotor Tracking

Journal

IEEE TRANSACTIONS ON POWER ELECTRONICS
Volume 36, Issue 1, Pages 1043-1053

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TPEL.2020.3000785

Keywords

Back electromotive force (back EMF); improved adaptive sliding mode observer (IASMO); sensorless control; surface permanent magnet synchronous motor (SPMSM)

Funding

  1. National Natural Science Foundation of China [61673190/F030101]
  2. Central China Normal University through the Self-Determined Research Funds [CCNU15A02060]

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This article introduces a sensorless field-oriented vector control strategy for a surface permanent magnet synchronous motor, incorporating an improved adaptive sliding mode observer and a back EMF observer. The method can reduce system chattering, adaptively track rotor speed and position, and demonstrates good stability through Lyapunov stability theory. Simulations and experiments show that the proposed method can effectively track changes in rotor speed and position with characteristics such as fast convergence, minimal chattering, and good robustness.
In this article, a sensorless field-oriented vector control strategy combined with an improved adaptive sliding mode observer and a back electromotive force (back EMF) observer is presented for a surface permanent magnet synchronous motor. First, based on a sliding mode, a current adaptive observer with estimation of back EMF is proposed to obtain the error of the back EMF, which can reduce system chattering. Then, a back EMF observer based on the back EMF error is constructed to adaptively track the rotor speed and position, which avoids complicated computation. Moreover, the stability of two observers is proved by using the Lyapunov stability theory. Finally, some simulations and experiments are given to show that the proposed method can track the changes of rotor speed and position with good characters, such as fast convergence, little chattering, and good robustness.

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