Auto-tuning of PID controller according to fractional-order reference model approximation for DC rotor control |
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Authors: | Baris Baykant Alagoz Abdullah Ates Celaleddin Yeroglu |
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Affiliation: | 1. Inonu University, Department of Electrical and Electronics Engineering, Malatya, Turkey;2. Inonu University, Department of Computer Engineering, Malatya, Turkey |
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Abstract: | 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. |
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Keywords: | Online auto-tuning Flight control PID rotor control Optimization |
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