Simulation and Real-Time Implementation of Sensorless Field Oriented Control of Induction Motor at Healthy State Using Rotor Cage Model and EKF

被引：0

作者：

Ameid, T. ^{[1
]}

Menacer, A. ^{[1
]}

Talhaoui, H. ^{[2
]}

Harzelli, I. ^{[1
]}

Ammar, A. ^{[1
]}

机构：

[1] Biskra Univ, Lab Biskra, LGEB, Biskra, Algeria

[2] Univ Bordj Bou Arreridj, Bordj Bou Arreridj, Algeria

来源：

PROCEEDINGS OF 2016 8TH INTERNATIONAL CONFERENCE ON MODELLING, IDENTIFICATION & CONTROL (ICMIC 2016) | 2016年

关键词：

induction motor; reduced model; Kalman observer; sensorless; sensorless field oriented control; dSpace; 1104; VECTOR CONTROL;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The vector control has been designed in order to achieve decoupled control between rotor flux and electromagnetic torque. The extended Kalman filter is a sensorless algorithm which allows estimating the state parameters and the rotor speed of the induction motor. This paper presents a sensorless control algorithm for induction motor drive. It consists of field oriented control and extended Kalman filter used for rotor speed estimation. The performances of this algorithm are tested and validated in simulation and experimental test bench in Matlab/Simulink environment with Real-Time interface based on the dSpace 1104.

引用

页码：695 / 700

页数：6

共 15 条

[1] Extended complex Kalman filter for sensorless control of an induction motor [J].