Optimal Tuning of PD controllers using Modified Artificial Bee Colony Algorithm
Mohammad Osman Tokhi, Mohd Ruzaini Hashim, HA Kasdirin · Research Open (London South Bank University) · 2018
tuning using modified artificial bee colony algorithm (MABC). The main purpose of this work is to apply and investigates the performance of MABC in tuning the PD controller of single link manipulator system (SLMS) in comparison with the original ABC. The objective of MABC algorithm is to minimize the error by using mean square error (MSE) as an objective function. The proposed algorithm also been tested in three benchmark functions with different dimensions to checked the robustness the algorithm in difference problems surface. The result shows that the MABC able to tune the controller to their best optimum value.