Similarity based local model approach for nonlinear modelling

Author

Baur, M. ; Bocklisch, S.F.

Author_Institution

Inst. of Syst. Theor., Chemnitz Univ. of Technol., Chemnitz, Germany

fYear

2001

fDate

4-7 Sept. 2001

Firstpage

3905

Lastpage

3910

Abstract

This contribution considers a new method for modelling nonlinear dynamical systems with blended multiple model structure. By approximating the nonlinear system sufficiently accurate, the model can be used as a basis for controller design. The local similarity between the linear local models and the nonlinear system is used to build the model structure. The obtained approximating system and the controller can be regarded as a Sugeno-Takagi fuzzy system. The method is outlined using simulated rotor dynamics of a wind turbine system.

Keywords

control system synthesis; fuzzy systems; nonlinear control systems; nonlinear dynamical systems; rotors; wind turbines; Sugeno-Takagi fuzzy system; approximating system; blended multiple model structure; controller design; linear local models; local similarity; nonlinear dynamical system modelling; similarity based local model approach; simulated rotor dynamics; wind turbine system; Adaptation models; Estimation; Nonlinear dynamical systems; Rotors; Torque; Wind turbines; Fuzzy modelling; identification; model based control; multiple models; wind turbine;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference (ECC), 2001 European

Conference_Location

Porto

Print_ISBN

978-3-9524173-6-2

Type

conf

Filename

7076544