45 / 2025-01-27 09:31:03
Indirect model predictive control for asymmetrical six-phase drives based on disturbance observer
model predictive control,Dual three-phase Permanent magnet synchronous motor,disturbance observer,vector space decomposition
Final Paper
Qianwen Duan / Institute of Optics And Electronics, Chinese Academy of Sciences
Wanping Yu / Institute of Optics And Electronics, Chinese Academy of Sciences
Jincong Zhu / Institute of Optics and Electronics, Chinese Academy of Sciences
Yao Mao / Institute of Optics And Electronics, Chinese Academy of Sciences
Qiliang Bao / Institute of Optics And Electronics, Chinese Academy of Sciences
To enhance the transient response of asymmetrical six-phase drives and mitigate model inaccuracies, this paper presents an indirect model predictive control method leveraging a disturbance observer. Specifically, a Kalman filter-based disturbance observer is utilized to estimate system state errors arising from parameter mismatches and unmodeled dynamics. Subsequently, a high-bandwidth indirect model predictive control strategy is developed to compute the unconstrained modulating voltage. Building on this, an active-set method-based quadratic programming solver is employed to determine the optimal constrained modulating voltage. Finally, the proposed approach is experimentally validated and compared with the field-oriented control method incorporating the proportional-integral controllers on an asymmetrical six-phase permanent magnet synchronous motor.

 
Important Date
  • Conference Date

    Jun 05

    2025

    to

    Jun 01

    2026

  • May 30 2025

    Draft paper submission deadline

  • Jun 08 2025

    Registration deadline

Sponsored By
China Southeast University
IEEE Power Electronics Society
Jiangsu Association of Automation
Nanjing Section IE Chapter
Organized By
Southeast University