Performance improvement of induction motor drives in low-speed operation using gray wolf optimizer based on IFOC

Abstract

Low-speed operation of induction motors (IM) requires special treatment to maintain their performance. The use of the indirect field-oriented control (IFOC) method makes the IM reliable in a variety of conditions, but the performance of IFOC is dependent on the reliability of the dq-axis controller, which is part of IFOC. Therefore, this research offers the implementation of the grey wolf optimizer (GWO) method to optimize the PI controller on the d-axis side. The data from this method is compared to the conventional PI method for evaluation. The results show that the GWO-PI and conventional PI method have the same steady-state value (SSV) and error (SSE). The implementation of the GWO-PI method reduces the integral absolute error (IAE) by up to 0.36% and the current consumption by 3.96–10.62%. As for the rise time and settling time aspects, the implementation of GWO-PI provides improvements of 0.001–0.02 s for rise time and 0.08–0.362 s for settling time. This indicates that the implementation of the GWO-PI method on the d-axis controller of the IFOC method can optimize the performance of IM speed and reduce current consumption in the case study of low-speed operation.