Alagoz, Baris BaykantAtes, AbdullahYeroglu, Celaleddin2024-08-042024-08-0420130957-4158https://doi.org/10.1016/j.mechatronics.2013.05.001https://hdl.handle.net/11616/96248This paper presents a stochastic, multi-parameters, divergence optimization method for the auto-tuning of proportional-integral-derivative (PID) controllers according to a fractional-order reference model. The study aimed to approximate the step response of the real closed-loop flight control system to the response of a theoretical reference model for a smoother and more precise flight control experience. The proposed heuristic optimization method can auto-tune a PID controller without a precise plant model. This is very advantageous when dealing with model and parameter uncertainties in real control application and practice. Experimental study confirms the reference model driven auto-tuning of the DC rotor prototype. (C) 2013 Elsevier Ltd. All rights reserved.eninfo:eu-repo/semantics/closedAccessOnline auto-tuningFlight controlPID rotor controlOptimizationAuto-tuning of PID controller according to fractional-order reference model approximation for DC rotor controlArticle23778979710.1016/j.mechatronics.2013.05.0012-s2.0-84886235322Q1WOS:000327110400008Q1