PUBLICATIONS

This paper presents an overvoltage suppression method based on machine learning for motor drive systems. Overvoltage in motor drive systems causes 

electrical stress that leads to insulation breakdown in motors. This paper investigates the impact of cable length and reference voltage on overvoltage to 

identify critical operating conditions. Machine learning is employed to adjust the reference voltage dynamically in response to varying drive conditions, 

thereby mitigating overvoltage. The effectiveness of the proposed method is validated through simulation results.