Improving Power Delivery of Grid-Connected Induction Machine Based Wind Generators Under Dynamic Conditions Using Feedforward Linear Neural Networks-Reference-Cited by-同舟云学术

Improving Power Delivery of Grid-Connected Induction Machine Based Wind Generators Under Dynamic Conditions Using Feedforward Linear Neural Networks

Published:2023 Issue: Volume:11 Page:63550-63564
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Chand Shyamal Shivneel¹^ORCID,Prasad Ravneel¹^ORCID,Mudaliar Hiye K.¹,Kumar Dhirendran Munith¹^ORCID,Fagiolini Adriano²^ORCID,Benedetto Marco Di³^ORCID,Cirrincione Maurizio¹^ORCID

Affiliation:

1. School of Information Technology, Engineering, Mathematics and Physics, The University of the South Pacific, Suva, Fiji

2. Department of Engineering, Mobile & Distributed Robots@Panormous Laboratory (MIRPALab), University of Palermo, Palermo, Italy

3. Department of Industrial, Electronic and Mechanical Engineering, Roma Tre University, Rome, Italy

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10156838.pdf?arnumber=10156838

Reference28 articles.

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4. A Neural-Network-Based Model Predictive Control of Three-Phase Inverter With an Output $LC$ Filter

5. A novel inertia identification method for speed control of electric machine;hong;Proc IEEE IECON 22nd Int Conf Ind Electron Control Instrum,1996

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