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Authors: Jong Kwang Lee ; Byung Suk Park ; Jonghui Han and Il-Je Cho

Affiliation: Korea Atomic Energy Research Institute, Korea, Republic of

Keyword(s): Load Performance, Multi-objective Optimization, Normalized Ratio of Errors.

Related Ontology Subjects/Areas/Topics: Agent Based Modeling and Simulation ; Application Domains ; Complex Systems Modeling and Simulation ; Computer Simulation Techniques ; Energy and Power Systems ; Formal Methods ; Optimization Issues ; Sensor Networks ; Simulation and Modeling ; Simulation Tools and Platforms ; Software and Architectures

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.

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Paper citation in several formats:
Lee, J. K., Park, B. S., 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 - SIMULTECH; ISBN 978-989-758-038-3; ISSN 2184-2841, SciTePress, pages 110-116. DOI: 10.5220/0005008301100116

@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 - SIMULTECH},
year={2014},
pages={110-116},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005008301100116},
isbn={978-989-758-038-3},
issn={2184-2841},
}

TY - CONF

JO - Proceedings of the 4th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - SIMULTECH
TI - Robust Estimation of Load Performance of DC Motor using Genetic Algorithm
SN - 978-989-758-038-3
IS - 2184-2841
AU - Lee, J.
AU - Park, B.
AU - Han, J.
AU - Cho, I.
PY - 2014
SP - 110
EP - 116
DO - 10.5220/0005008301100116
PB - SciTePress

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