Induction Machine Parameter Identification: A Comparison Between GAs and PSO Approaches

摘要

This paper, deals with meta-heuristics methods such as Genetic Algorithms (GAs) and Particle Swarm Optimization(PSO) for parameters identification of induction machine. The considered method consists on minimizing quadratic criterion that represents the difference between measured rotor mechanical speed and those computed from the simulated model. The obtained results by simulation show that the method based on particle swarm optimization is more efficient than genetic algorithms in terms of convergence speed and gives optimal solution.