Abstract:
This paper describes how an artificial neural network (ANN) can be employed to improve a model reference adaptive system closed loop flux observer (MRAS-CLFO) used for sp...Show MoreMetadata
Abstract:
This paper describes how an artificial neural network (ANN) can be employed to improve a model reference adaptive system closed loop flux observer (MRAS-CLFO) used for speed estimation in a vector controlled induction motor drive. The system uses the ANN to estimate changes in the stator resistance which enable the MRAS-CLFO models to work more accurately. The overall effect is an improvement in speed estimation and experimental results are presented to verify this.
Published in: 2000 Eighth International Conference on Power Electronics and Variable Speed Drives (IEE Conf. Publ. No. 475)
Date of Conference: 18-19 September 2000
Date Added to IEEE Xplore: 06 August 2002
Print ISBN:0-85296-729-2
Online Stator and Rotor Resistance Estimation Scheme Using Artificial Neural Networks for Vector Controlled Speed Sensorless Induction Motor Drive
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