Abstract
This paper presents a novel rotor position fault diagnosis strategy for synchronous motor (SM) for identifying rotor position faults of SM. The safe and reasonable operation areas of rotor position and angular speed fluctuation are predicted through the rotor position model prediction method considering the noise and load change. The rotor position fault diagnosis is realized by judging whether the real-time position and angular speed fluctuation data are in a safe and reasonable operation area, and faults can be identified within one PWM cycle. The algorithm is robust to noise on fault diagnosis and considers the effect of load characteristics. Furthermore, it decouples from other sensorless control algorithms. Also, the algorithm can be applied to switch from position-based to position sensorless control of the SM. And fault-tolerant control is further implemented to ensure the safe and reliable operation of the motor control system. Theoretical analysis and simulation results demonstrate the effectiveness of the proposed control strategy.
Published Version
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