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五相感应电机变采样周期模型预测控制策略

陈会鸽 王双岭

电源学报2024,Vol.22Issue(4):318-326,338,10.
电源学报2024,Vol.22Issue(4):318-326,338,10.DOI:10.13234/j.issn.2095-2805.2024.4.318

五相感应电机变采样周期模型预测控制策略

Model Predictive Control Strategy for Five-phase Induction Motor with Variable Sampling Period

陈会鸽 1王双岭2

作者信息

  • 1. 黄河科技学院工学部,郑州 450001
  • 2. 郑州经贸学院智慧制造学院,郑州 451191
  • 折叠

摘要

Abstract

Aimed at the high harmonic content of a model predictive controller(MPC)without modulation modules,a novel model-based variable sampling period MPC strategy is proposed and applied to a five-phase induction motor drive system.The problem caused by the fixed-discretization of time in the MPC is analyzed,but the introduction of modulation or modulation substitution to solve this problem will increase the complexity of the control system.Therefore,a simpler and more natural idea is adopted.Specifically,the sampling interval is changed based on the pursuit algorithm,and the optimal control action and implementation time are determined by combining with the MPC,thus realizing the variable sampling period MPC strategy.Experiments were carried out using the five-phase induction motor drive system,and experimental results verified the excellent reference tracking and current harmonic performance of the novel variable sampling period MPC.

关键词

模型预测控制器/数字控制系统/变采样周期/追击算法/五相感应电机

Key words

Model predictive controller(MPC)/digital control system/variable sampling period/pursuit algorithm/five-phase induction motor

分类

信息技术与安全科学

引用本文复制引用

陈会鸽,王双岭..五相感应电机变采样周期模型预测控制策略[J].电源学报,2024,22(4):318-326,338,10.

基金项目

河南省教育厅资助项目(21B413007)This work is supported by Henan Provincial Department of Education Project under the grant 21B413007 (21B413007)

电源学报

OA北大核心

2095-2805

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