Estimação de parâmetros elétricos de motores de indução trifásicos via métodos de otimização heurísticos

Gabriel Biscardi; Lucas Jonys R. Silva; Márcio V. Rondow Campos; Deniver R. Schutz; Ricardo Q. Machado; Vilma A. Oliveira

doi:10.20906/SBAI-SBSE-2023/3796

Gabriel Biscardi Universidade de São Paulo, São Carlos, São Paulo
Lucas Jonys R. Silva Universidade de São Paulo, São Carlos, São Paulo
Márcio V. Rondow Campos Universidade de São Paulo, São Carlos, São Paulo
Deniver R. Schutz Universidade de São Paulo, São Carlos, São Paulo
Ricardo Q. Machado Universidade de São Paulo, São Carlos, São Paulo
Vilma A. Oliveira Universidade de São Paulo, São Carlos, São Paulo

DOI: https://doi.org/10.20906/SBAI-SBSE-2023/3796

Keywords: Three-phase induction motor, parameter estimation, heuristic optimization, particle swarm optimization, differential evolution

Abstract

The accurate estimation of the electrical parameters of a three-phase induction motor is important for modeling and tuning controllers. This work presents results of estimating the parameters of a three-phase induction motor model W22 IR3 Premium using two heuristic methods: Particle Swarm Optimization (PSO) and Differential Evolution Optimization (DEO). The results are compared with parameter estimation via direct current, locked rotor and no-load tests. The validation of the methods used is carried out based on the torque, efficiency, power factor curves provided by the manufacturer. The results show that the parameters obtained by optimization present a smaller percentage error than the parameters obtained through experimental tests.