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MRAS Sensorless Vector Control of an Induction Motor Using New Sliding-Mode and Fuzzy-Logic Adaptation Mechanisms

Lookup NU author(s): Dr Shady Gadoue, Professor Damian Giaouris, Emeritus Professor John Finch



In this paper, two novel adaptation schemes are proposed to replace the classical PI controller used inmodel reference adaptive speed-estimation schemes that are based on rotor flux. The first proposed adaptation scheme is based on sliding-mode theory. A new speed-estimation adaptation law is derived using Lyapunov theory to ensure estimation stability, as well as fast error dynamics. The other adaptation mechanism is based on fuzzy-logic strategy. A detailed experimental comparison between the new and conventional schemes is carried out in both open- and closed-loop sensorless modes of operation when a vector control drive is working at very low speed. Superior performance has been obtained using the new sliding-mode and fuzzy-logic adaptation mechanisms in both modes of operations.

Publication metadata

Author(s): Gadoue SM, Giaouris D, Finch JW

Publication type: Article

Publication status: Published

Journal: IEEE Transactions on Energy Conversion

Year: 2010

Volume: 25

Issue: 2

Pages: 394-402

Print publication date: 01/06/2010

ISSN (print): 0885-8969

ISSN (electronic): 1558-0059

Publisher: IEEE


DOI: 10.1109/TEC.2009.2036445


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