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Lookup NU author(s): Emeritus Professor John Finch
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The Model Reference Adaptive System (MRAS) is probably the most widely applied speed sensorless drive control scheme. This paper compares induction motor speed estimation using conventional MRAS and AI-based MRAS with Stator Resistance Compensation. A conventional mathematical model based MRAS speed estimation scheme can give a relatively precise speed estimation result, but errors will occur during low frequency operation. Furthermore, it is also very sensitive to machine parameter variations. However, an AI-based MRAS-based system with a Stator Resistance Compensation model can improve the speed estimation accuracy and is relatively robust to parameter variations even at an extremely low frequency. Simulation results using a validated machine model are used to demonstrate the improved behaviour.
Author(s): Yang C, Finch JW
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: World Congress on Engineering (WCE 2008)
Year of Conference: 2008
Publisher: International Association of Engineers
Library holdings: Search Newcastle University Library for this item
Series Title: Lecture notes in engineering and computer science