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Current Sensor Fault Reconstruction for PMSM Drives.

Gang Huang1,2, Yi-Ping Luo3, Chang-Fan Zhang4

  • 1School of Traffic and Transportation Engineering, Central South University, Changsha 410075, China. gangder@csu.edu.cn.

Sensors (Basel, Switzerland)
|February 4, 2016
PubMed
Summary
This summary is machine-generated.

This study presents a novel algorithm for reconstructing interior permanent magnet synchronous motor (IPMSM) current sensor faults. The method effectively reconstructs sensor faults for improved drive system reliability.

Keywords:
active fluxpermanent magnet synchronous motor (PMSM)reconstructionsensors faultsliding mode observers

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Area of Science:

  • Electrical Engineering
  • Control Systems
  • Power Electronics

Background:

  • Interior permanent magnet synchronous motors (IPMSMs) are widely used in various applications due to their high efficiency and power density.
  • Current sensor faults in IPMSM drive systems can lead to performance degradation and potential system failure.
  • Accurate fault detection and reconstruction are crucial for ensuring the reliable operation of IPMSM drives.

Purpose of the Study:

  • To develop a robust current sensor fault reconstruction algorithm for IPMSM torque closed-loop drive systems.
  • To address the challenge of distinguishing sensor faults from actuator faults.
  • To enhance the fault tolerance and reliability of IPMSM drive systems.

Main Methods:

  • A novel state variable was introduced to equate sensor faults to actuator faults.
  • A current observer was constructed in αβ coordinates using an active flux linkage motor model.
  • Sliding mode equivalent control methodology was employed to eliminate unknown disturbances.
  • An adaptive method was utilized for reconstructing phase current sensor faults.
  • An αβ axis current fault processing module was designed based on reconstructed values.

Main Results:

  • The proposed algorithm successfully reconstructs current sensor faults in IPMSM drive systems.
  • The method effectively eliminates the impact of unknown disturbances on fault reconstruction.
  • Simulation and experimental tests on the RT-LAB platform validated the algorithm's feasibility and effectiveness.

Conclusions:

  • The developed fault reconstruction algorithm provides a reliable solution for addressing current sensor faults in IPMSM drives.
  • The proposed method enhances the overall robustness and safety of the torque closed-loop drive system.
  • This work contributes to the advancement of fault-tolerant control strategies for electric drives.