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Commutation Error Compensation Strategy for Sensorless Brushless DC Motors

Author

Listed:
  • Xuliang Yao

    (College of Automation, Harbin Engineering University, Harbin 150001, China)

  • Jicheng Zhao

    (College of Automation, Harbin Engineering University, Harbin 150001, China)

  • Guangxu Lu

    (College of Automation, Harbin Engineering University, Harbin 150001, China)

  • Hao Lin

    (College of Automation, Harbin Engineering University, Harbin 150001, China)

  • Jingfang Wang

    (College of Automation, Harbin Engineering University, Harbin 150001, China)

Abstract

Sensorless brushless DC (BLDC) motor drive systems often suffer from inaccurate commutation signals, which result in current fluctuation and high conduction loss. To improve precision of commutation signals, this paper presents a novel commutation error compensation strategy for BLDC motors. First, the relationship between the line voltage difference integral in 60 electrical degree conduction interval and the commutation error is analyzed. Then, in terms of the relationship derived, a feedback compensation strategy based on the line voltage difference integral is proposed to regulate commutation signals by making three-phase back electromotive force (EMF) integral to zero, and the effect of the freewheeling process on the line voltage difference integral is considered. Moreover, an incremental PI controller is designed to achieve closed-loop compensation for the commutation error automatically. Finally, experiment results verify feasibility and effectiveness of the proposed strategy.

Suggested Citation

  • Xuliang Yao & Jicheng Zhao & Guangxu Lu & Hao Lin & Jingfang Wang, 2019. "Commutation Error Compensation Strategy for Sensorless Brushless DC Motors," Energies, MDPI, vol. 12(2), pages 1-22, January.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:2:p:203-:d:196261
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    Citations

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    Cited by:

    1. Sandra Eriksson, 2019. "Permanent Magnet Synchronous Machines," Energies, MDPI, vol. 12(14), pages 1-5, July.
    2. Hyun-Jong Park & Sung-Chul Go, 2022. "Modeling and Control of a Hybrid Multi DOF Motor for a Tilted Rotating System," Energies, MDPI, vol. 15(19), pages 1-17, October.

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