IEEE Open Journal of Industry Applications (Jan 2022)

Online Auto-Tuning Method in Field-Orientation-Controlled Induction Motor Driving Inertial Load

  • Masaki Nagataki,
  • Keiichiro Kondo,
  • Osamu Yamazaki,
  • Kazuaki Yuki,
  • Yosuke Nakazawa

DOI
https://doi.org/10.1109/OJIA.2022.3189343
Journal volume & issue
Vol. 3
pp. 125 – 140

Abstract

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Feed-forward current control, which employs a single-pulse mode of inverters over a wide speed range, is applied in inertial load drive applications such as electric vehicles and electric railway vehicles. It is necessary to identify both primary and secondary motor parameters to realize sophisticated torque control in the feed-forward current control region, wherein the current controller cannot compensate for motor parameter errors. An online auto-tuning method that is based on the fundamental components of motor voltages during acceleration with an inertial load is proposed in this study. The convergence of the proposed auto-tuning is discussed, and a calculation method for correction gains is proposed to compensate for the motor parameters. The proposed method is verified via numerical simulation and experiments with a 750 W induction motor and an inertial load.

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