Optimal Tuning of Fractional Order PID Controller using Artificial hummingbird algorithm applied for a drilling machine

The main object of present paper is to develop a fractional order controller for a drilling machine. In this study we propose the application of a new artificial hummingbirds' algorithm to evaluate the five parameters of FOPID controller order, Results are compared with different algorithms. WOA-PID, ZN-PID and PSO-PID controllers using ITAE objective function optimization for comparison. Numerical simulations with Matlab software are given to compare the effectiveness of the proposed AHA-FOPID controllers for the drilling machine showed the high performance of the AHA algorithm.