NDLI: Rotor Resistance Estimator Using Support Vector Machines and Model Reference Adaptive System

Content Provider	IEEE Xplore Digital Library
Author	Villazana, S.A. Seijas, C.O. Caralli, A. Villanueva, C. Arteaga, F.
Copyright Year	2006
Description	Author affiliation: Carabobo Univ. (Villazana, S.A.; Seijas, C.O.; Caralli, A.; Villanueva, C.; Arteaga, F.)
Abstract	The main drawback of the indirect vector control of the squirrel cage induction motor (SCIM) is the impairing of the drive performance because of the lost of the field orientation caused by the difference between rotor resistance of the machine, varying with temperature, saturation, skin effect, and its corresponding in the model of the controller (fixed). Rotor resistance estimator of the SCIM was designed using support vector machines (SVM) together with model reference adaptive system. The drive with variable rotor resistance was simulated, and flux error records were obtained from current and voltage models. SVM was trained with those flux error records and variable rotor resistance; the great generalization potential of the SVM was confirmed during the training stage, since with a small number of support vectors, the resistance value was predicted for a great quantity of samples that were not considered in the training stage. The drive with the rotor resistance estimator in closed loop showed a well performance when was undergone to other operation conditions different to that from the training signals were obtained and nevertheless to achieve an excellent estimation of the rotor resistance
Starting Page	2417
Ending Page	2421
File Size	5216083
Page Count	5
File Format	PDF
ISBN	1424404967
DOI	10.1109/ISIE.2006.295951
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-07-09
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Adaptive systems Rotors Artificial neural networks Stators Induction motors Equations Machine vector control Voltage Support vector machine classification
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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