University of Isfahan Computational Intelligence in Electrical Engineering 2821-0689 14 1 2023 04 21 Estimation of Electrical Parameters of the Induction Machine Steady State Model Using Nameplate Data and Hunger Game Search Algorithm Estimation of Electrical Parameters of the Induction Machine Steady State Model Using Nameplate Data and Hunger Game Search Algorithm 17 30 26774 10.22108/isee.2022.131991.1532 FA Ahmad Shirzadi M.A student, Faculty of Electrical & Computer Engineering, Malek Ashtar University of Technology, Tehran, Iran Arash Dehestani Kolagar Assistant Professor, Faculty of Electrical & Computer Engineering, Malek Ashtar University of Technology, Tehran, Iran Mohammad Reza Alizadeh Pahlavani Associate Professor, Faculty of Electrical & Computer Engineering, Malek Ashtar University of Technology, Tehran, Iran Journal Article 2021 12 25 In this paper, the Hunger Games Search (HGS) optimization algorithm is used to estimate the electrical parameters of the induction machine steady state model. Induction machine nameplate data is used as input to the proposed algorithm. The performance of the proposed method is confirmed by comparing the output characteristics obtained by estimating the motor parameters including torque, current and power factor in the steady state model of the induction machine with the values provided by the manufacturer. In addition, by evaluating and comparing the results of the proposed method with the results of previous research, it is shown that the proposed algorithm is a very effective and accurate method for the acceptable estimation of induction machine parameters. In this paper, the Hunger Games Search (HGS) optimization algorithm is used to estimate the electrical parameters of the induction machine steady state model. Induction machine nameplate data is used as input to the proposed algorithm. The performance of the proposed method is confirmed by comparing the output characteristics obtained by estimating the motor parameters including torque, current and power factor in the steady state model of the induction machine with the values provided by the manufacturer. In addition, by evaluating and comparing the results of the proposed method with the results of previous research, it is shown that the proposed algorithm is a very effective and accurate method for the acceptable estimation of induction machine parameters. https://isee.ui.ac.ir/article_26774_a3e0fa60d237f1df3c7284d3b8cf974e.pdf