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Título
A Novel Hybrid Intelligent Classifier to Obtain the Controller Tuning Parameters for Temperature Control
Autor(es)
Materia
Computer Science
Fecha de publicación
2012
Editor
Springer Science + Business Media
Citación
Hybrid Artificial Intelligent Systems Lecture Notes in Computer Science. 7th International Conference, HAIS 2012, Salamanca, Spain, March 28-30th, 2012. Proceedings, Part I. Lecture Notes in Computer Science. Volumen 7208, pp. 677-689.
Resumen
This study presents a novel hybrid classifier method to obtain the best parameters of a PID controller for desired specifications. The study presents a hybrid system based on the organization of existing rules and classifier models that select the optimal expressions to improve specifications. The model achieved chooses the best controller parameters among different closed loop tuning methods. The classifiers are based on ANN and SVM. The proposal was tested on the temperature control of a laboratory stove.
URI
ISBN
978-3-642-28941-5 (Print) / 978-3-642-28942-2 (Online)
ISSN
0302-9743(Print)/ 1611-3349(Online)
Colecciones
- BISITE. Congresos [232]
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