Performance Monitoring of Closed-Loop Controlled Systems Using dFasArt

Authors:
Jose Manuel Cano-Izquierdo;Julio Ibarrola;Miguel Almonacid
Affiliations:
Department of Systems Engineering and Automatic Control, Technical University of Cartagena, Campus Muralla del Mar, 30202 Cartagena, Murcia, Spain;Department of Systems Engineering and Automatic Control, Technical University of Cartagena, Campus Muralla del Mar, 30202 Cartagena, Murcia, Spain;Department of Systems Engineering and Automatic Control, Technical University of Cartagena, Campus Muralla del Mar, 30202 Cartagena, Murcia, Spain
Venue:
IWINAC '07 Proceedings of the 2nd international work-conference on Nature Inspired Problem-Solving Methods in Knowledge Engineering: Interplay Between Natural and Artificial Computation, Part II
Year:
2007

Citing 3
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Brief paper: Applying neuro-fuzzy model dFasArt in control systems

Engineering Applications of Artificial Intelligence

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Abstract

This paper analyzes the behaviour of closed-loop controlled systems. Starting from the measured data, the aim is to establish a classification of the system operation states. Digital Signal Processing is used to represent temporal signal with spatial patterns. A neuro-fuzzy scheme (dFasArt) is proposed to classify these patterns, in an on-line way, characterizing the state of controller performance. A real scale plant has been used to carry out several experiments with good results.