基于直接转矩控制的双矢量直接电压模型预测控制策略

Translated title of the contribution: Double Vector Based Direct Voltage Predictive Control Based on Direct Torque Control

Qiaosen Cao, Jianwei Zhang, Guizhen Tian, Guangchen Liu

Research output: Journal PublicationArticlepeer-review

Abstract

Model predictive control(MPC) is a widely studied control strategy in the field of power electronics. MPC does not need a modulation stage and has the characteristics of fast dynamic response, flexible multi-objective control, simplicity and ease in implementation. However, this control method is computation extensive due to the iterative optimization calculation process, raising demand for high-performance processors and making it hard for practical applications. Based on the idea of direct torque control, a double vector based direct voltage predictive control(2VB-DVPC) strategy is proposed. The proposed control method utilizes a predefined look-up table to select switch states, thus avoiding the tedious calculation process and reducing the computation burden. The comparative simulation models of traditional MPC and 2VB-DVPC are built in Matlab/Simulink for verification. The simulation results verify that the proposed 2VB-DVPC control strategy can effectively reduce the amount of calculation of the algorithm while ensuring dynamic and steady-state performance. The average switching frequency is fixed and the complexity of harmonics filter design is reduced.

Translated title of the contributionDouble Vector Based Direct Voltage Predictive Control Based on Direct Torque Control
Original languageChinese (Traditional)
Pages (from-to)92-99
Number of pages8
JournalJournal of Electrical Engineering (China)
Volume19
Issue number2
DOIs
Publication statusPublished - Jun 2024
Externally publishedYes

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Double Vector Based Direct Voltage Predictive Control Based on Direct Torque Control'. Together they form a unique fingerprint.

Cite this