شماره ركورد كنفرانس :
5060
عنوان مقاله :
A Stator Resistance Estimation Algorithm For Sensorless Dual Stator Winding Induction Machine Drive Using Model Reference Adaptive System
Author/Authors :
Maryam، Vazifedan Electrical engineering department - Ferdowsi University Of Mashhad Mashhad, Iran , Hossein، Abootorabi Zarchi Electrical engineering department - Ferdowsi University Of Mashhad Mashhad, Iran
كليدواژه :
dual stator winding induction machine , X-model reference adaptive system , online stator resistance estimator
عنوان كنفرانس :
11th Power Electronics, Drive Systems, and Technologies Conference (PEDSTC)
چكيده فارسي :
فاقد چكيده فارسي
چكيده لاتين :
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.
