Nonlinear system control with fuzzy logic design

Author

Chak, Chu Kwong ; Feng, Gang

Author_Institution

Sch. of Electr. Eng., New South Wales Univ., Kensington, NSW, Australia

fYear

1994

fDate

26-29 Jun 1994

Firstpage

1592

Abstract

Presents a control design method for nonlinear systems. In this method a set of control laws is designed based on the linear models about some points of state space of nonlinear systems. The controller output is the result of applying fuzzy logic theory to manipulate the given set of control laws. By this approach, the authors ensure good performance as expected when the state space trajectory is around or about the points where linear models are based to find the control laws and reasonable performance in other regions. This method can be applied to nonlinear systems which are not feedback linearisable. Some simulation results of a 4th order nonlinear system, ball and beam system, are presented to demonstrate the feasibility of this method

Keywords

control system synthesis; fuzzy logic; nonlinear control systems; state-space methods; ball and beam system; control design method; fuzzy logic design; nonlinear system control; state space; state space trajectory; Control design; Control systems; Feedback; Fuzzy logic; Fuzzy systems; Iron; Nonlinear control systems; Nonlinear systems; Power system modeling; State-space methods;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the Third IEEE Conference on

Conference_Location

Orlando, FL

Print_ISBN

0-7803-1896-X

Type

conf

DOI

10.1109/FUZZY.1994.343933

Filename

343933