Virtual Vector Based Model Predictive Torque Control of Induction Motor Without Weighting Factor
Author:
Affiliation:

Fund Project:

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

    In order to eliminate the weighting value of traditional model predictive torque control (MPTC) of induction motor (IM) and reduce the computational complexity of the algorithm, a deadbeat based MPTC method is proposed. According to the relationship among torque, flux and voltage, an expected voltage vector is obtained based on deadbeat control of flux linkage. By judging the position of expected voltage vector, the number of voltage control sets is reduced from 8 to 2, which reduces the computational burden of MPTC. In addition, the value function contains only one variable of torque to achieve the desired control effect, avoiding the design of weighting value. The simplified three-vector synthesis virtual voltage vector not only expands the vector selection domain, but also reduces the complexity of the traditional virtual voltage vector algorithm and improves the steadystate performance of the control. Simulation and experimental results show that the proposed method has good dynamic and static performance.

    Reference
    Related
    Cited by
Get Citation

LIU Meng, LU Ziguang, WANG Jing. Virtual Vector Based Model Predictive Torque Control of Induction Motor Without Weighting Factor[J]. Electric Machines & Control Application,2021,48(1):20-27,34.

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:September 18,2020
  • Revised:November 09,2020
  • Adopted:
  • Online: January 19,2021
  • Published: January 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