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This study introduces a fault-tolerant control (FTC) strategy for induction motor drives (IMD). The method effectively diagnoses sensor failures and ensures continuous operation using current space vectors.

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Area of Science:

  • Electrical Engineering
  • Control Systems
  • Power Electronics

Background:

  • Induction motor drives (IMD) are crucial in industrial applications.
  • Sensor failures can lead to operational disruptions and system instability.
  • Existing fault-tolerant control (FTC) strategies require enhancement for robust sensor failure diagnosis.

Purpose of the Study:

  • To propose a novel FTC strategy for IMDs to diagnose sensor failures.
  • To ensure sustained and stable operation of the IMD system despite sensor malfunctions.
  • To improve the reliability and operational continuity of induction motor drives.

Main Methods:

  • Utilized current space vectors for sensor fault diagnosis.
  • Developed a mixed mathematical model employing three space vectors and their components.
  • Implemented a sensor fault diagnosis technique based on measured and estimated currents with reference speeds.
  • Simulated sensor failure scenarios in the Matlab/Simulink environment.

Main Results:

  • The proposed FTC strategy accurately detected simulated sensor failures.
  • The IMD system maintained stable operation during fault conditions.
  • The mixed mathematical model effectively determined the fault status of individual sensors.
  • Successful validation of the FTC technique in a simulated environment.

Conclusions:

  • The proposed FTC strategy effectively diagnoses sensor failures in FO-controlled IMDs.
  • The technique enhances the sustained operation and reliability of induction motor drives.
  • Current space vector-based diagnosis offers a robust solution for sensor faults in IMDs.