Paper Info
Title
A hybrid intelligent system for generic decision for PID controllers design in open-loop
Abstract
This study presents a novel hybrid generic decision method to obtain the best parameters of a PID (Proportional-Integral-Derivative) controller for desired specifications. The method used is to develop a ruled-based conceptual model of knowledge based system for PID design in Open-Loop. The study shows a hybrid system based on the organization of existing rules and a new way to obtain other specific ones based on decision trees. The model achieved chooses the best controller parameters, between different open loop tuning methods. For this purpose an automatic classification of a huge dataset is used. Data was obtained by applying considered tuning methods to a collection of representative systems. The propose hybrid system has been tested on a temperature control of a ceramic furnace plant.
Year
DOI
Venue
2011
10.1007/978-3-642-21222-2_43
HAIS (2)
Keywords
Field
DocType
ruled-based conceptual model,representative system,hybrid system,ceramic furnace plant,decision tree,best controller parameter,pid design,pid controllers design,hybrid intelligent system,best parameter,automatic classification,novel hybrid generic decision,pid,knowledge engineering
Decision tree,Control theory,PID controller,Computer science,Temperature control,Control engineering,Hybrid intelligent system,Artificial intelligence,Decision model,Open-loop controller,Hybrid system,Machine learning
Conference
Volume
ISSN
Citations 
6679
0302-9743
0
PageRank 
References 
Authors
0.34
22
4
Name
Order
Citations
PageRank
José Luís Calvo-Rolle117541.67
Emilio Corchado22626210.70
Amer Laham321.08
Ramón Ferreiro García4114.66