NDLI: Induction machine efficiency estimation using population based algorithm

Content Provider	IEEE Xplore Digital Library
Author	Grewal, G.S. Rajpurohit, B.S.
Copyright Year	2014
Description	Author affiliation: Sch. of Comput. & Electr. Eng., Indian Inst. of Technol., Mandi, Mandi, India (Grewal, G.S.; Rajpurohit, B.S.)
Abstract	There has been a tremendous pressure to predict the in situ efficiency of induction machine (IM) with limited level of intrusion so as to improve IMs performance. Least research work is carried out to make IM efficiency evaluation methods compatible to unbalanced supply and varying load conditions. This paper proposes a novel approach using cuckoo search algorithm (CSA) to obtain efficiency estimation of an IM operating as a motor working with unbalanced supply having under or over voltage issues. CSA improves the searching ability and has capability to adapt to complex optimization problems. Here, CSA optimizes the IM positive sequence parameters at various loading levels. The parameters optimization is done with the use of positive sequence input currents and electrical powers which have been obtained earlier at various operating loading points. Using the optimized parameters, the negative sequence parameters can be evaluated. So, the efficiency of IM can be estimated at different loading levels. The proposed approach is implemented on the MATLAB platform. The effectiveness of the novel approach is established by comparing the results obtained with genetic algorithm (GA).
Starting Page	1
Ending Page	6
File Size	488161
Page Count	6
File Format	PDF
ISBN	9781479960453
e-ISBN	9781479960460
DOI	10.1109/IICPE.2014.7115815
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-12-08
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis levy flight Loading Estimation Rotors induction motor efficiency Mathematical model cuckoo search algorithm (CSA) induction machine (IM) Optimization Equivalent circuits
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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