Parameter Estimation of Induction Machine Single-Cage and Double-Cage Models Using a Hybrid Simulated Annealing–Evaporation Rate Water Cycle Algorithm

Martin Ćalasan, Mihailo Micev, Ziad M. Ali, Ahmed F. Zobaa and Shady H. E. Abdel Aleem
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Martin Ćalasan: Faculty of Electrical Engineering, University of Montenegro, Dzordza Vasingtona, 81000 Podgorica, Montenegro
Mihailo Micev: Faculty of Electrical Engineering, University of Montenegro, Dzordza Vasingtona, 81000 Podgorica, Montenegro
Ziad M. Ali: Electrical Engineering Department, College of Engineering at Wadi Addawaser, Prince Sattam bin Abdulaziz University, Wadi Addawaser 11991, Saudi Arabia
Ahmed F. Zobaa: Electronic and Computer Engineering Department, Brunel University London, Uxbridge UB8 3PH, UK
Shady H. E. Abdel Aleem: Mathematical, Physical and Engineering Sciences Department, 15th of May Higher Institute of Engineering, Cairo 11731, Egypt

Mathematics, 2020, vol. 8, issue 6, 1-29

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.

Keywords: induction machines; induction machines equivalent circuits; parameter estimation; hybrid optimization techniques; hybrid simulated annealing; evaporation rate water cycle algorithm (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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