Title :
Approximate Modeling of a Class of Nonlinear Oscillators using Takagi-Sugeno Fuzzy Systems and Its Application to Control Design
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
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;
Conference_Titel :
Decision and Control, 2005 and 2005 European Control Conference. CDC-ECC '05. 44th IEEE Conference on
Print_ISBN :
0-7803-9567-0
DOI :
10.1109/CDC.2005.1582685
