Auto-tuning of PID controller according to fractional-order reference model approximation for DC rotor control

作者：Alagoz Baris Baykant^*; Ates Abdullah; Yeroglu Celaleddin

来源：Mechatronics, 2013, 23(7): 789-797.

DOI：10.1016/j.mechatronics.2013.05.001

• Online auto-tuning
• Flight control
• PID rotor control
• Optimization

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.

• 出版日期2013-10