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,Shady H E Abdel Aleem

doi:10.3390/math8061024

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.

Highlights

Induction machines (IMs), especially squirrel-cage machines, are the most commonly used electrical machines
The optimization techniques used for comparison include moth-flame optimization (MFO), multi-verse optimization (MVO), particle swarm optimization (PSO), and DEA [92,93]
In [20], the authors proposed the usage of PAMP and modified shuffled frog-leaping algorithm (MSFLA) for DCIM parameter estimation based on manufacturer data

Summary

Introduction

Induction machines (IMs), especially squirrel-cage machines, are the most commonly used electrical machines. IMs are considered as the industry’s powerhouse motors [1] These machines have many very different applications, for example with constant or variable speed, with constant or variable load, with constant or variable voltage supply, and so on. A robust, accurate, and reliable parameter estimation method, as well as an adequate equivalent circuit, is required. For that reason, this problem has been analyzed in the main world standards and in research works that discuss the mentioned standards [2,3,4,5]

Methods

Results

Conclusion