Position and Speed Estimation for Permanent Magnet SynchronousMotor Based on Hybrid Terminal Sliding Mode Observer
DOI:
Author:
Affiliation:

(1. Institute of Electronic and Electrical Engineering, Changzhou College of Information Technology,Changzhou 213164, China;2. School of Electrical and Information Engineering, Changzhou Institute of Technology,Changzhou 213032, China)

Fund Project:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
    Abstract:

    The control accuracy of traditional sliding mode observer (SMO) based permanent magnet synchronous motor (PMSM) was low, which was caused by the inherent buffeting characteristics, the weakening of observed back electromotive force (EMF) amplitude and the shifting of the observed rotor phase. In order to solve this problem, an estimating method for PMSM speed and rotor position based on the secondorder hybrid terminal SMO was proposed. The method adopted a secondorder sliding mode switching surface constructed by a linear sliding mode and a hybrid terminal sliding mode. A reasonable sliding mode control law was designed to effectively suppress the inherent buffeting characteristics of the traditional sliding mode. Besides, it could avoid the weakening of the observed back EMF amplitude and the shifting of the observed rotor phase, which were brought by the use of lowpass filter, so that the accuracy of estimated rotor position and speed could be improved effectively. On this basis, the robustness of the SMO was further analyzed with perturbation of motor stator resistance and inductance. Experimental results verified the effectiveness and practicability of the hybrid terminal SMO.

    Reference
    Related
    Cited by
Get Citation

QIAN Biwei, JU Jintao. Position and Speed Estimation for Permanent Magnet SynchronousMotor Based on Hybrid Terminal Sliding Mode Observer[J]. Electric Machines & Control Application,2019,46(3):21-26.

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:November 14,2018
  • Revised:
  • Adopted:
  • Online: December 02,2019
  • Published:
You are thevisitor
沪ICP备16038578号-3
Electric Machines & Control Application ® 2025
Supported by:Beijing E-Tiller Technology Development Co., Ltd.

沪公网安备 31010702006048号