A hybrid intelligent system for generic decision for PID controllers design in open-loop

Authors:
José Luis Calvo-Rolle;Emilio Corchado;Amer Laham;Ramón Ferreiro García
Affiliations:
Department de Ingeniería Industrial, Universidad de La Coruña, Ferrol, A Coruña, Spain;Departamento de Informática y Automática, Universidad de Salamanca, Salamanca, Spain;Departamento de Informática y Automática, Universidad de Salamanca, Salamanca, Spain;Department de Ingeniería Industrial, Universidad de La Coruña, Ferrol, A Coruña, Spain
Venue:
HAIS'11 Proceedings of the 6th international conference on Hybrid artificial intelligent systems - Volume Part II
Year:
2011

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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.