In recent years, industrial developments have made it necessary to control induction motors, used in both industrial and household applications, over a wide range of speeds. Thanks to vector-control algorithms, in order to control the torque in high-performance operations over wide-ranging speeds, the equivalent circuit parameters of the induction motor have to be known precisely. In this study, the equivalent circuit parameters of the induction motor are estimated only with the limited information shared by the manufacturer’s datasheets. The estimation method is based on the principle of solving nonlinear equations derived from the equivalent circuit of an induction motor by the particle swarm optimization algorithm. The proposed equation set and the algorithmic solution have been tested for 20 different induction motors and presented in comparison with the experimentally obtained equivalent circuit parameters. Moreover, the speed–torque characteristics obtained experimentally and calculated from the estimated equivalent circuit parameters for ten different selected motors are compared and the performance of the proposed algorithm is examined.
Cite this article as: M. O. Gülbahçe and M. E. Karaaslan, "Estimation of induction motor equivalent circuit parameters from manufacturer’s datasheet by particle swarm optimization algorithm for variable frequency drives," Electrica, 22(1), 16-26, Jan. 2022.