Tuning fuzzy PI controllers by iterative learning

Villagrán V.; Sbarbaro D.

Abstract

This paper presents a new approach for tuning Fuzzy PID controllers using Iterative Learning and Least Squares with Regularization. The controller is tuned so that, without knowing a model of the plant and for a given reference signal, the closed loop system will follow a desired model reference as close as possible. The methodology given in this work allows a global design of a fuzzy controller applied to linear systems. Furthermore, some simulations show the attractive characteristics, like performance and its easy implementation, associated to this approach. Copyright (C) 2000 IFAC.

Más información

Título según WOS: Tuning fuzzy PI controllers by iterative learning
Título de la Revista: DIGITAL CONTROL: PAST, PRESENT AND FUTURE OF PID CONTROL
Editorial: PERGAMON-ELSEVIER SCIENCE LTD
Fecha de publicación: 2000
Página de inicio: 571
Página final: 576
Idioma: English
Notas: ISI