Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/21098
Title: Parameters estimation of induction machine single-cage and double-cage model using Hybrid Simulated Annealing–Evaporation Rate Water Cycle algorithm
Authors: Calasan, M
Micev, M
Ali, ZM
Zobaa, AF
Abdel Aleem, SHE
Keywords: Induction machines;Induction machines equivalent circuits;Parameter estimation;Hybrid optimization techniques;Hybrid simulated annealing;Evaporation rate water cycle algorithm
Issue Date: 23-Jun-2020
Publisher: MDPI
Citation: Ćalasan, M.; Micev, M.; Ali, Z.M.; Zobaa, A.F.; Abdel Aleem, S.H.E. Parameter Estimation of Induction Machine Single-Cage and Double-Cage Models Using a Hybrid Simulated Annealing–Evaporation Rate Water Cycle Algorithm. Mathematics 2020, 8, 1024.
Abstract: This paper presents the usage of the hybrid simulated annealing—evaporation rate water cycle algorithm (SA-ERWCA) for induction machine equivalent circuit parameter estimation. The proposed algorithm is applied to nameplate data, measured data found in the literature, and data measured experimentally on a laboratory three-phase induction machine operating as an induction motor and as an induction generator. Furthermore, the proposed method is applied to both single-cage and double-cage equivalent circuit models. The accuracy and applicability of the proposed SA-ERWCA are intensively investigated, comparing the machine output characteristics determined by using SA-ERWCA parameters with corresponding characteristics obtained by using parameters determined using known methods from the literature. Also, the comparison of the SA-ERWCA with classic ERWCA and other algorithms used in the literature for induction machine parameter estimation is presented. The obtained results show that the proposed algorithm is a very effective and accurate method for induction machine parameter estimation. Furthermore, it is shown that the SA-ERWCA has the best convergence characteristics compared to other algorithms for induction machine parameter estimation in the literature.
URI: http://bura.brunel.ac.uk/handle/2438/21098
DOI: http://dx.doi.org/10.3390/math8061024
ISSN: 2227-7390
Other Identifiers: mathematics-831326
mathematics-831326
1024
1024
Appears in Collections:Dept of Electronic and Computer Engineering Research Papers

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