A Stator Resistance Estimation Algorithm For Sensorless Dual Stator Winding Induction Machine Drive Using Model Reference Adaptive System

被引：1
|
作者：
Vazifedan, Maryam [1 ]
Zarchi, Hossein Abootorabi [1 ]
机构：
[1] Ferdowsi Univ Mashhad, Elect Engn Dept, Mashhad, Razavi Khorasan, Iran
来源：
2020 11TH POWER ELECTRONICS, DRIVE SYSTEMS, AND TECHNOLOGIES CONFERENCE (PEDSTC) | 2020年
关键词：
dual stator winding induction machine; X-model reference adaptive system; online stator resistance estimator;
D O I：
10.1109/pedstc49159.2020.9088399
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
In this paper, an X-model reference adaptive system (X-MRAS) estimator for speed estimation of indirect vector controlled dual stator winding induction machine drive, and online stator resistance estimator is presented. X-MRAS estimator does not require flux observer for estimation, so this is immune to the pure integration problems. Furthermore, the estimation scheme is stable in all four regions of operation. In order to improve the zero and low-speed operation, an online stator resistance estimator based X-MRAS is designed. The stability of the estimation schemes and sensitivity analysis are further added to ensure the robustness of the drive system. The proposed speed estimation approach for DSWIM drive, as well as the online stator resistance estimation algorithm, have been simulated in MATLAB/SIMULINK.
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收藏
页数：7
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