A bio-inspired knowledge system for control tuning (BIO-KSY)

Author

Calvo-Rolle, Jose Luis ; García, Ramón Ferreiro ; Corchado, Emilio ; Hernández, Pedro Antonio ; Pérez, María Luisa ; Sánchez, María Araceli

Author_Institution

Dept. de Ing. Ind., Univ. of A Coruna, A Coruna, Spain

fYear

2011

fDate

19-21 Oct. 2011

Firstpage

600

Lastpage

607

Abstract

This study presents a novel bio-inspired knowledge system, based in closed loop tuning, for the calculation of the Proportional-Integral-Derivative (PID) controller parameters. The aim is to achieve automatically the best parameters according with the work point and the dynamics of the plant. For it, in our study, several typical expressions and systems have been taken into account to build the model. Each of these expressions is appropriated for a particular system. The novel method is empirically verified with a real dataset obtained by a liquid-level laboratory plant.

Keywords

bio-inspired materials; closed loop systems; knowledge based systems; three-term control; bio inspired knowledge system; closed loop tuning; control tuning; liquid level laboratory plant; proportional integral derivatie controller; Artificial neural networks; Biological system modeling; Data models; Decision trees; Mathematical model; Oscillators; Tuning; artificial neural networks; bio-inspired models; industrial applications; knowledge-based system;

fLanguage

English

Publisher

ieee

Conference_Titel

Nature and Biologically Inspired Computing (NaBIC), 2011 Third World Congress on

Conference_Location

Salamanca

Print_ISBN

978-1-4577-1122-0

Type

conf

DOI

10.1109/NaBIC.2011.6089656

Filename

6089656