A More Efficient Induction Machine based on Hill Climbing Local Search Optimization-Reference-Cited by-同舟云学术

A More Efficient Induction Machine based on Hill Climbing Local Search Optimization

Published:2022-05-05 Issue: Volume: Page:
ISSN:
Container-title:2022 International Virtual Conference on Power Engineering Computing and Control: Developments in Electric Vehicles and Energy Sector for Sustainable Future (PECCON)
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Author:

Srimathi R¹,Ponmurugan P²,Iqbal Atif³,V Kamatchi Kannan⁴,Lakshmanan M⁵,Nadin E S⁶

Affiliation:

1. SELECT VIT Chennai,Chennai,India

2. EEE Sengunthar Engg College,Tiruchengode,India

3. Dept. of Electrical Engineering Qatar University,Doha,Qatar

4. EEE Bannari Institute of Technology,Sathyamangalam,India

5. EEE CMR Institute of Technology,Bengaluru,India

6. EEE UG Student, Bannari Institute of Technology,Sathyamangalam,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9850966/9850971/09851011.pdf?arnumber=9851011

Reference21 articles.

1. Real time induction motor efficiency optimization

2. aDesign and Optimization of Three Phase Induction Motor using Genetic Algorithm;raghuram;a International Journal of Advances in Computer Science and Technology,2013

3. aA Genetic Algorithm Based Neuro Fuzzy Controller for the Speed Control of Induction Motor;rushi kumar;a Inter-national Journal of Advanced Research in Electrical Electronics and Instrumentation Engineeringa,2015

4. aAn Improved Big Bang-Big Crunch Algorithm for Estimating Three-Phase Induction Motors Efficiency;bigdeli;J Operation and Automation in Power Engineering,2016

5. Considerations for Nonintrusive Efficiency Estimation of Inverter-Fed Induction Motors

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