Optimal Tuning of PD controllers using Modified Artificial Bee Colony Algorithm
Tokhi, MO, Hashim, MR and Kasdirin, H (2018). Optimal Tuning of PD controllers using Modified Artificial Bee Colony Algorithm. Journal of Telecommunication, Electronic and Computer Engineering. 10 (2-8), pp. 67-70.
|Authors||Tokhi, MO, Hashim, MR and Kasdirin, H|
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.
|Keywords||Artificial bee colony; local search; Single link manipulator system; PD controller; Local search|
|Journal||Journal of Telecommunication, Electronic and Computer Engineering|
|Journal citation||10 (2-8), pp. 67-70|
|Publisher||Universiti Teknikal Malaysia Melaka|
|30 Jan 2018|
|Publication process dates|
|Deposited||08 Jan 2019|
|Accepted||30 Jan 2018|
|Accepted author manuscript|
CC BY 4.0
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