MECHATRONICS, cilt.23, sa.7, ss.789-797, 2013 (SCI-Expanded)
This 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.