A New Method for Induction Motors Parameter Estimation Using Genetic Algorithms and Transient Speed measurements

This paper proposes a new heuristic approach based on genetic algorithms (GA) to estimate mechanical and electrical parameters of an induction motor (IM) in all operative conditions using only speed transient measurements. The GA routine is used off-line to minimize the error between experimental speed transient responses measured on the machine under test and those obtained, under the same conditions, form a simulation in which the GA optimizes the parameters. The IM is controlled by means of a standard vector control strategy using a set of parameters initially estimated from the nominal values of the machine