Fast Finite Control Set-Model Predictive Control for PMSM Driven by Bidirectional Quasi-Z-Source Inverter
Author:
Affiliation:

Fund Project:

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

    The bidirectional quasi-Z-source inverter (qZSI) driven by permanent magnet synchronous motor (PMSM) not only has the advantages of both the Z-source inverter and the PMSM, but also realizes the bidirectional flow of energy. According to the characteristics of the system, a fast vector selection finite control set-model predictive current control (FCS-MPCC) strategy is proposed. The reference value of inductance current is generated by controlling the DC link voltage of quasi-Z-source network with the electromagnetic power feedforward value of PMSM. The reference motor current is generated by the speed closed-loop control. By predicting the inductor current value and calculating the inductor current subcost function in the shoot-through (ST) case and non-shoot-through (NST) case, either the ST case or NST case is chosen to realize the control of DC link voltage. In the NST case, combined with the space voltage vector pulse width modulation strategy, only the four vectors of the sector where the target voltage vector is located participate in the PMSM stator current prediction and cost function calculation to select the optimal switching state. It can reduce the amount of online calculation while controlling the speed of the PMSM. The simulation results show that the proposed control strategy can realize the boost control of the bidirectional qZSI and the speed control of the PMSM under traction or braking conditions, and the system has good steadystate and dynamic performance.

    Reference
    Related
    Cited by
Get Citation

ZENG Li, DU Qiang, CHEN Yangqi. Fast Finite Control Set-Model Predictive Control for PMSM Driven by Bidirectional Quasi-Z-Source Inverter[J]. Electric Machines & Control Application,2021,48(8):28-35,43.

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:March 29,2021
  • Revised:June 07,2021
  • Adopted:
  • Online: August 27,2021
  • Published: August 10,2021
You are thevisitor
沪ICP备16038578号-3
Electric Machines & Control Application ® 2025
Supported by:Beijing E-Tiller Technology Development Co., Ltd.

沪公网安备 31010702006048号