Parameters Identification of Induction Motor Using the Slime Mould Algorithm

Sebhi Abdelhadi,Ahmed Chaouki Megherbi,Athmane Zitouni

2023 2nd International Conference on Electronics, Energy and Measurement (IC2EM)（2023）

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摘要

This research work focuses on estimating the parameters of an induction motor (IM) using recent algorithm: The slime mould algorithm (SMA). The SMA algorithm shows the stability of this algorithm to search large areas with a high accuracy. Compared to the particle swarm optimization (PSO), the simulation results indicate that the performance of SMA in terms of both accuracy and convergence speed makes it the algorithm of choice for estimating IM parameters.

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关键词

Parameters Identification,Induction Motor,Slime Mould Algorithm,Particle Swarm Optimization Algorithms (PSO)

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