Artificial Hummingbird Algorithm- Based PID Controller for DC Motor Speed Control

The Artificial Hummingbird Algorithm (AHA), a meta-heuristic algorithm that mimics hummingbird feeding behaviours and was inspired by nature, was published in 2021 by Liying Wang. This approach uses axial, diagonal, and omnidirectional flight capabilities to carry out migration and foraging processes in a directed manner. The AHA was used in this study to analysed the direct current (DC) motor speed control problem based on proportional-integral-derivative (PID) controllers. The integral of the time-weighted absolute error (ITAE) was employed as an error-based objective function for parameter optimization once the ideal PID parameters (kp, ki, and kd) were identified in the controller design. The AHA was contrasted with other algorithms from the literature at various DC motor operating points in order to increase diversity. The results showed that the AHA that was suggested performed successfully and effectively for the DC motor speed control problem.