Design Optimization of PMSM with Temperature Effect using GSA and GSA-PSO

Vinod Puri, Yogesh K. Chauhan

2021

Abstract

The design of the machine is complex and regrous process. There are many parameters which influence the design of a machine. The manufacture have to keep an eye on these factors well in advance and consider their effect on the geometrical parameters. The reserach work focused on the temperature effect while optimizing the geometrical parameters of permanent magnet synchronous machine . The objective which is based on the minimization of temperature of the machine have been formulated. The optimization of geometrical parameters have been done using natured inspired newtonian law based Gravitational Search Algorithm.This paper focused on a comparative study which has been done on algorithms and their hybridization of Gravitational Serach Algorithm and Partical Swarm Optimization.

Paper Citation

in Harvard Style

Puri V. and Chauhan Y. (2021). Design Optimization of PMSM with Temperature Effect using GSA and GSA-PSO. In Proceedings of the 3rd International Conference on Advanced Computing and Software Engineering - Volume 1: ICACSE, ISBN 978-989-758-544-9, pages 61-66. DOI: 10.5220/0010562600003161

in Bibtex Style

@conference{icacse21,
author={Vinod Puri and Yogesh K. Chauhan},
title={Design Optimization of PMSM with Temperature Effect using GSA and GSA-PSO},
booktitle={Proceedings of the 3rd International Conference on Advanced Computing and Software Engineering - Volume 1: ICACSE,},
year={2021},
pages={61-66},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010562600003161},
isbn={978-989-758-544-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Advanced Computing and Software Engineering - Volume 1: ICACSE,
TI - Design Optimization of PMSM with Temperature Effect using GSA and GSA-PSO
SN - 978-989-758-544-9
AU - Puri V.
AU - Chauhan Y.
PY - 2021
SP - 61
EP - 66
DO - 10.5220/0010562600003161