Research on voltage sensorless DTC for induction motor with MRAS speed observer

LI Ying; HU Li-kun; LIANG Bing-hong

doi:10.13873/J.1000-9787(2015)06-0061-03

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Research on voltage sensorless DTC for induction motor with MRAS speed observer

更新时间：2025-09-11

- Research on voltage sensorless DTC for induction motor with MRAS speed observer
- Vol. 34, Issue 6, Pages: 61-63(2015)
- 作者机构：
  
  广西大学电气工程学院
- 作者简介：
- 基金信息：
- DOI：10.13873/J.1000-9787(2015)06-0061-03
  CLC： TM343
- Published：2015
- 稿件说明：
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[1]李瀛,胡立坤,梁冰红.采用MRAS速度观测器的异步电机无电压传感器DTC研究[J].传感器与微系统,2015,34(06):61-63.

LI Ying, HU Li-kun, LIANG Bing-hong. Research on voltage sensorless DTC for induction motor with MRAS speed observer[J]. 2015, 34(6): 61-63.
[1]李瀛,胡立坤,梁冰红.采用MRAS速度观测器的异步电机无电压传感器DTC研究[J].传感器与微系统,2015,34(06):61-63. DOI： 10.13873/J.1000-9787(2015)06-0061-03.

LI Ying, HU Li-kun, LIANG Bing-hong. Research on voltage sensorless DTC for induction motor with MRAS speed observer[J]. 2015, 34(6): 61-63. DOI： 10.13873/J.1000-9787(2015)06-0061-03.

摘要

为提高系统的抗干扰能力

降低运行成本

提出无电压传感器控制策略

通过逆变器的导通状态和直流侧电压估算三相定子电压

采用模型参考自适应系统（MRAS）方法设计速度观测器

基于异步电机数学模型得到转子磁链的两种模型

根据合适的自适应机构得到精确的实际转速

实时调节模型参数

该控制方法简单

保持较高的控制精度。最后通过实验验证了控制策略的可行性。

Abstract

In order to improve capacity of resisting disturbance and reduce cost of operation control strategy of voltage sensorless is proposed. Three-phase stator voltages are estimated by conducting state of inverter and DC voltage

speed observer is designed by model reference adaptive system（ MRAS）. Based on mathematical model of asynchronous motor

two kinds of rotor flux observation models are obtained. According to the suitable adaptive institutions to get accurate actual rotating speed

adjust model parameters in real time. This control method is simple and has high control precision. Finally

experiments prove the feasibility of the control strategy.

关键词

Keywords

references

异步电机无交流电压传感器自然坐标控制 [J]. 朱绯,卢子广,胡立坤,胡东. 电力电子技术 . 2014(01)

PWM整流器虚拟电网磁链定向矢量控制仿真研究 [J]. 赵仁德,贺益康. 电力系统及其自动化学报 . 2005(05)

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Related Institution

College of Automation Science & Engineering,South China University of Technology

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