Performance Improvement of Induction Motor Drives in Low-Speed Operation Using Gray Wolf Optimizer Based on IFOC

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