Approximate Modeling of a Class of Nonlinear Oscillators using Takagi-Sugeno Fuzzy Systems and Its Application to Control Design

Author

Schulte, Horst

Author_Institution

(MIEEE), Department of Mechanical Engineering, Laboratory of Control Engineering and System Dynamics (RTS), University Kassel, Moenchebergstr.7, 34109 Kassel, Germany schulte@ieee.org

fYear

2005

fDate

12-15 Dec. 2005

Firstpage

3387

Lastpage

3392

Abstract

An effective modeling of nonlinearities and the analysis of the influence on the closed-loop dynamics in mechatronic systems such as servo systems is often crucial for high performance applications. For this we propose an analytical method of approximate modeling of a class of nonlinear mechanical oscillators using fuzzy systems. The emphasis in this work will be on a systematic description of the construction of fuzzy systems from known nonlinear models and an error analysis as a function of model complexity. Finally, its application as a model framework for an effective gain-scheduling control design method will be discussed.

Keywords

Approximate analysis; Control; Fuzzy modeling; Mechanical Systems; oriented models; Control design; Error analysis; Fuzzy systems; Mechatronics; Oscillators; Performance analysis; Servomechanisms; Shock absorbers; Springs; Takagi-Sugeno model; Approximate analysis; Control; Fuzzy modeling; Mechanical Systems; oriented models;

fLanguage

English

Publisher

ieee

Conference_Titel

Decision and Control, 2005 and 2005 European Control Conference. CDC-ECC '05. 44th IEEE Conference on

Print_ISBN

0-7803-9567-0

Type

conf

DOI

10.1109/CDC.2005.1582685

Filename

1582685