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Published in: Electrical Engineering 6/2022

07-07-2022 | Original Paper

Energy saving for separately excited DC motor via optimization method with deterministic recursive linear least square algorithm

Authors: Jeerawan Homjan, Kongpol Areerak, Tidarut Areerak, Sasiya Udomsuk, Kongpan Areerak

Published in: Electrical Engineering | Issue 6/2022

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Abstract

This paper presents the energy saving for separately excited direct current (DC) motor. The optimization method is adopted to calculate the field current for loss minimization. The appropriate motor and power loss parameters are important for calculating the field current for energy saving. Therefore, the deterministic recursive linear least square (DRLS) algorithm is used for the online estimation of the parameters of separately excited DC motor. Moreover, the adaptive Tabu search is used for the identification of power loss parameters. The results of the energy saving obtained using the optimization method with DRLS algorithm are compared with those obtained using the conventional and optimization methods without parameter estimation. The comparison results indicate that the optimization method with DRLS algorithm can achieve the minimum power loss for separately excited DC motor. The maximum percentage of energy saving is 77.77% compared with the conventional method.
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Metadata
Title
Energy saving for separately excited DC motor via optimization method with deterministic recursive linear least square algorithm
Authors
Jeerawan Homjan
Kongpol Areerak
Tidarut Areerak
Sasiya Udomsuk
Kongpan Areerak
Publication date
07-07-2022
Publisher
Springer Berlin Heidelberg
Published in
Electrical Engineering / Issue 6/2022
Print ISSN: 0948-7921
Electronic ISSN: 1432-0487
DOI
https://doi.org/10.1007/s00202-022-01593-6

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