Fault Tolerant Analysis of Sensorless for Switched Reluctance MotorBased on the Current Threshold
DOI:
Author:
Affiliation:

(1. School of Electronic Engineering, Nanjing Xiaozhuang University, Nanjing 211171, China;2. School of Electrical and Power Engineering, China University of Mining and Technology,Xuzhou 221116, China;3. College of Automation Engineering, Nanjing University of Aeronautics and Astronautics,Nanjing 210016, China)

Fund Project:

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

    A position estimation fault tolerant technology for switched reluctance motor (SRM) was proposed under the condition of the sensor fault and estimation error compensation based on the double current thresholds. In this method, the position index pulses were estimated by comparing the double current threshold value and the pulse current amplitude, and the speed and position could also be estimated by the position index pulses signals. Uing the independence of the SRM between the phase and the phase, the positions of the sensor fault phase were estimated using the electromagnetic information of the normal phase. The influence of the speed on position estimation error was obtained by simulation, and put forward the position error compensation measures. The experiment was carried out in a 12/8 structure prototype, the experimental results showed that the method could improve the fault tolerance of the sensorless sensor technology, and verify the correctness and feasibility of the algorithm.

    Reference
    Related
    Cited by
Get Citation

ZHANG Lei, LIU Chuang. Fault Tolerant Analysis of Sensorless for Switched Reluctance MotorBased on the Current Threshold[J]. Electric Machines & Control Application,2018,45(5):58-63.

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:
  • Revised:
  • Adopted:
  • Online: December 17,2019
  • 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