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author:

Huang, Yan-Wei (Huang, Yan-Wei.) [1] (Scholars:黄宴委) | Tang, Shao-Jian (Tang, Shao-Jian.) [2] | Huang, Wen-Chao (Huang, Wen-Chao.) [3] (Scholars:黄文超) | Chen, Shao-Bin (Chen, Shao-Bin.) [4] (Scholars:陈少斌)

Indexed by:

EI Scopus PKU CSCD

Abstract:

The conventional speed predictive control system of permanent magnet synchronous motor has two major drawbacks: the weight coefficient between the speed and current term of the cost function being difficult to determine, and the selection of control voltage vector by the traversal mode resulting in a large amount of calculation. A fast speed predictive control based on expected voltage vector is proposed to regulate speed. The motor speed model was discretized by Taylor series to obtain an expected voltage vector, and the error terms of the speed and d-axis current in the cost function were converted into voltage dimension, which avoids the adjustment of the weight coefficient. The Clark transform was used to calculate the angle of the expected voltage vector to describe the local section of the expected voltage vector. The basic voltage vector constituting the local sector was used as candidate voltage vectors to be substituted into the cost function, and the candidate voltage vector with the smallest cost function was used as the control voltage vector to regulate the inverter. The simulation and experimental results show that the proposed method can achieve the same steady-state error as that by the conventional method with the optimal weight. The proposed method is convenient for practical application without adjusting the weight and saves 55% in the calculation step. © 2020, Harbin University of Science and Technology Publication. All right reserved.

Keyword:

Cost functions Permanent magnets Speed Synchronous motors Vector control (Electric machinery) Vectors

Community:

  • [ 1 ] [Huang, Yan-Wei]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350116, China
  • [ 2 ] [Tang, Shao-Jian]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350116, China
  • [ 3 ] [Huang, Wen-Chao]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350116, China
  • [ 4 ] [Chen, Shao-Bin]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350116, China

Reprint 's Address:

  • 陈少斌

    [chen, shao-bin]college of electrical engineering and automation, fuzhou university, fuzhou; 350116, china

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Source :

Electric Machines and Control

ISSN: 1007-449X

CN: 23-1408/TM

Year: 2020

Issue: 4

Volume: 24

Page: 87-95

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 3

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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