NDLI: RBF neural networks based quasi sliding mode controller and robust speed estimation for PM Synchronous Motors

Content Provider	IEEE Xplore Digital Library
Author	Ciabattoni, L. Corradini, M.L. Grisostomi, M. Ippoliti, G. Longhi, S. Orlando, G.
Copyright Year	2010
Description	Author affiliation: Scuola di Scienze e Tecnologie, Università di Camerino, via Madonna delle Carceri, 62032 Camerino (MC), Italy (Corradini, M.L.) \|\| Dipartimento di Ingegneria Informatica, Gestionale e dell'Automazione, Università Politecnica delle Marche, 60131 Ancona, Italy (Ciabattoni, L.; Grisostomi, M.; Ippoliti, G.; Longhi, S.; Orlando, G.)
Abstract	This paper presents a neural networks based discrete time variable structure control and a robust speed estimator designed for a Permanent Magnet Synchronous Motor (PMSM). Radial basis function neural networks are used to learn about uncertainties affecting the system. A cascade control scheme is proposed which provides accurate speed tracking performance. In this control scheme the speed estimator is a robust digital differentiator that provides the first derivative of the encoder position measurement. The analysis of the control stability is given and the ultimate boundedness of the speed tracking error is proved. The controller performance has been evaluated by simulation using the model of a commercial PMSM drive. Simulations show that the proposed solution produces good speed trajectory tracking performance.
Starting Page	2402
Ending Page	2407
File Size	382915
Page Count	6
File Format	PDF
ISBN	9781424452255
ISSN	1553572X
DOI	10.1109/IECON.2010.5675101
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-11-07
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Artificial neural networks Digital TV Permanent magnet motors Robustness Reluctance motors Uncertainty
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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