Parameters Estimation of Three-Phase Induction Motors Using Whale Optimization Algorithm

Accurate parameters estimation is essential for efficient vector control and beneficial for energy-saving control for induction motors in the context of carbon neutrality. The whale optimization algorithm (WOA) is employed in this study to estimate several particular parameters of three-phase induction motors (TIMs). In this paper, two-phase stationary coordinate system is adapted for motor modeling. In the WOA, the square differences between the measured and the estimated currents of the TIM are minimized. The computational results show that the currents calculated from the parameters estimated by the WOA are highly consistent with the measured values. Finally, the comparison study among the WOA, the grey wolf optimization (GWO) and the particle swarm optimization is conducted. The comparative results also demonstrate the superiority of WOA in estimation accuracy and convergence speed.