Design optimization methods of an intelligent controller from a speed control system

The paper presents fuzzy logic simple and combined with evolution strategies and neuro-fuzzy designs of a duty-cycle compensation controller in order to linearize the nonlinear external characteristics family of a step-down or forward DC-DC converter that supplies DC motors. The controller is additi...

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Bibliographische Detailangaben
Hauptverfasser:	Florescu, A, Radoi, C, Stanciu, D, Rosu, S G, Stocklosa, O, Teodorescu, M
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Artificial intelligence Computational intelligence Control systems DC motors DC-DC power converters Design optimization Fuzzy logic Neural networks Switching converters Velocity control
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Beschreibung
Zusammenfassung:	The paper presents fuzzy logic simple and combined with evolution strategies and neuro-fuzzy designs of a duty-cycle compensation controller in order to linearize the nonlinear external characteristics family of a step-down or forward DC-DC converter that supplies DC motors. The controller is additionally introduced in high precision speed control systems. Comparisons between classical PI controllers and fuzzy controllers and are made. Advantages of combined methods of computational intelligence domain are revealed.
DOI:	10.1109/AQTR.2010.5520916