Logistic Step Size Based Artificial Bee Colony Algorithm for Optimum Induction Motor Speed Control

Background: The disruption in the parameters of Induction Motor (IM) is quite frequent. In case of substantial parameter disruption, the IM becomes unreliable. Methods: To deal with this complication of parameter disruption, the Proportional-Integral (PI) controllers are utilized. The selection of PI controller parameters is process dependent and any inappropriate selection of controller setting may diverge to instability. Nowadays, the tuning of PI controller parameters for IM is executed using a significant SI algorithm namely, Artificial Bee Colony (ABC) algorithm. Further, the ABC algorithm is amended based on inspiration from the mathematical logistic formula. Results and Conclusion: The propound algorithm is titled as a logistic ABC algorithm and is applied for PI controller tuning of IM. The outcomes reveal that the propound algorithm performs better as compared to other state-of-art strategies available in the literature.