Comparative experimental study of a fuzzy feedback linearization control based on a fuzzy estimator international conference on control, automation and systems (ICCAS 2013)

Author

Bahita, Mohamed ; Belarbi, Khaled

Author_Institution

Dept. of Automatization, Boumerdes Univ., Boumerdes, Algeria

fYear

2013

fDate

20-23 Oct. 2013

Firstpage

338

Lastpage

343

Abstract

In this paper, we consider an experimental study of an adaptive fuzzy control for a class of single input single output nonlinear systems. A Takagi Sugeno (TS) fuzzy inference system (FIS) is used to approximate the feedback linearization law. The adaptation mechanism is based on an estimate of the error between the ideal unknown control signal and the actual control signal. This estimate is provided by a Mamdani fuzzy system whose rule base is constructed using simple expert reasoning. The parameters of the (TS) controller are updated using the gradient descent law based on the estimated control error. The experiment is carried out on a three tanks system with the objective of controlling the level of one tank. The results compare favorably with those obtained using a PI controller.

Keywords

adaptive control; control engineering computing; fuzzy control; fuzzy reasoning; fuzzy systems; gradient methods; knowledge based systems; level control; linearisation techniques; nonlinear control systems; tanks (containers); Mamdani fuzzy system; TS FIS; TS controller; Takagi Sugeno fuzzy inference system; actual control signal; adaptation mechanism; adaptive fuzzy control; control error estimation; expert reasoning; feedback linearization law; fuzzy estimator; fuzzy feedback linearization control; gradient descent law; ideal unknown control signal; level control; rule base; single input single output nonlinear systems; three-tanks system; Cognition; Joining processes; Silicon; Supervised learning; Vectors; Adaptive control; Mamdani fuzzy inference system; Takagy Sugeno fuzzy inference system‥; experimental test; feedback linearization; nonlinear system;

fLanguage

English

Publisher

ieee

Conference_Titel

Control, Automation and Systems (ICCAS), 2013 13th International Conference on

Conference_Location

Gwangju

ISSN

2093-7121

Print_ISBN

978-89-93215-05-2

Type

conf

DOI

10.1109/ICCAS.2013.6703919

Filename

6703919