Dual second order model predictive control of dual three-phase PMSM based on current loop optimization
DOI:
CSTR:
Author:
Affiliation:

School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo 255000, China

Clc Number:

TM351

Fund Project:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    In order to solve the problem of many iterations in traditional model predictive current control, improve the flexibility of two degrees of freedom about direction and amplitude in voltage vector synthesis of dual three-phase motor, and reduce the output torque ripple and current ripple, a dual second-order model predictive control algorithm based on current loop optimization is proposed. Compared with the conventional speed loop using the PI control algorithm and current loop using the traditional MPC control algorithm, this algorithm adopts the second-order MPC control mode in the speed loop, which reduces the speed regulation time and increases the motor immunity; The second-order MPC control mode is adopted in the current loop, and the traditional iterative calculation method is improved to calculate the direction and amplitude of the output voltage vector through the analytic function, which increases the flexibility of the output voltage vector. Four vector SVPWM is used to modulate the voltage vector to reduce the current amplitude in the harmonic subspace. The simulation results show that the algorithm can significantly reduce the torque ripple and current ripple, and increase the transient performance of the motor.

    Reference
    Related
    Cited by
Get Citation
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:
  • Revised:
  • Adopted:
  • Online: August 09,2024
  • Published:
Article QR Code