Robust Estimation of Load Performance of DC Motor using Genetic Algorithm
Jong Kwang Lee, Byung Suk Park, Jonghui Han, Il-Je Cho
2014
Abstract
This paper presents a novel approach to estimate the load performance curves of DC motors whose equations are represented as a function of the torque based on a steady-state model with constraints. Since a simultaneous optimization of the curves forms a multi-objective optimization problem (MOP), we apply an optimal curve fitting method based on a real-coded genetic algorithm (RGA). In the method, we introduce a normalized ratio of errors to solve the MOP without the use of weighting factors and the nominal parameters to automatically determine the searching bounds of the curve parameters. Compared to the conventional least square fitting methods, the proposed scheme provides robust and accurate estimation characteristics even when fewer measurements with a small range of torque loading are taken and used for a data fitting.
DownloadPaper Citation
in Harvard Style
Lee J., Park B., Han J. and Cho I. (2014). Robust Estimation of Load Performance of DC Motor using Genetic Algorithm . In Proceedings of the 4th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH, ISBN 978-989-758-038-3, pages 110-116. DOI: 10.5220/0005008301100116
in Bibtex Style
@conference{simultech14,
author={Jong Kwang Lee and Byung Suk Park and Jonghui Han and Il-Je Cho},
title={Robust Estimation of Load Performance of DC Motor using Genetic Algorithm},
booktitle={Proceedings of the 4th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,},
year={2014},
pages={110-116},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005008301100116},
isbn={978-989-758-038-3},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 4th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,
TI - Robust Estimation of Load Performance of DC Motor using Genetic Algorithm
SN - 978-989-758-038-3
AU - Lee J.
AU - Park B.
AU - Han J.
AU - Cho I.
PY - 2014
SP - 110
EP - 116
DO - 10.5220/0005008301100116