Application of a supervisory fuzzy controller for controlling nonlinear processes

Sbarbaro D.; Segovia J.P.

Keywords: systems, system, simulation, term, computer, fuzzy, control, nonlinear, process, analysis, nonlinearities, linearization, processes, two, controllers, Supervisory

Abstract

This paper describes a nonlinear fuzzy controller which can control highly nonlinear processes. In general nonlinear processes can be seen as linear processes working in a confined operating region, this region can be characterized by the input, the output or some of the state variables. The controller structure has two layers: the first layer is a fuzzy controller, representing the knowledge about the use of proportional and integrative controller, and the second one is a set of PI controllers. Some guidelines about how to tune this controller are also described. Simulations and experimental results show the potentialities and limitations of this approach.

Más información

Título de la Revista: 1604-2004: SUPERNOVAE AS COSMOLOGICAL LIGHTHOUSES
Volumen: 1
Editorial: ASTRONOMICAL SOC PACIFIC
Fecha de publicación: 1996
Página de inicio: 575
Página final: 579
URL: http://www.scopus.com/inward/record.url?eid=2-s2.0-0030399614&partnerID=q2rCbXpz