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Adaptive Linear Neuron-Augmented ADRC for Harmonic Current Suppression in Dual Three-Phase PMSMs: An Optimization Strategy

  • Harbin Institute of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

Dual three-phase permanent magnet synchronous motors (DTP-PMSMs) are susceptible to both nonperiodic and periodic harmonic disturbances due to factors such as nonsinusoidal back electromotive force (EMF), inverter nonlinearity, and winding asymmetry, which degrade system performance. To address the insufficient suppression of periodic harmonics in traditional active disturbance rejection control (ADRC), this article proposes an adaptive linear neuron-augmented ADRC (ALNA-ADRC) strategy. By embedding an adaptive linear neuron (ALN) into the ADRC framework, the proposed method precisely suppresses periodic harmonics, such as the 5th and 7th harmonics, in the harmonic plane while maintaining ADRC’s robustness against nonperiodic disturbances. Furthermore, by decoupling the observer bandwidth from the control law gain, the parameter tuning process of ADRC is simplified. Experimental results demonstrate that the proposed method significantly reduces the total harmonic distortion (THD) of the current, achieving a minimum THD of 6.55% under steady-state conditions. In addition, it exhibits superior harmonic suppression capability and stability under complex operating conditions, including parameter mismatch, variable speed, and sudden load changes.

Original languageEnglish
Pages (from-to)6148-6160
Number of pages13
JournalIEEE Journal of Emerging and Selected Topics in Power Electronics
Volume13
Issue number5
DOIs
StatePublished - 2025

Keywords

  • Active disturbance rejection control (ADRC)
  • adaptive linear neuron (ALN)
  • dual three-phase permanent magnet synchronous motors (DTP-PMSMs)
  • harmonic suppression
  • vector space decoupling (VSD)

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