Identification with blended multi-model approach in the frequency domain: an application to a servo pneumatic actuator

Author

Schulte, H. ; Hahn, H.

Author_Institution

Lab. of Control Eng. & Syst. Dynamics, Kassel Univ., Germany

Volume

2

fYear

2001

fDate

2001

Firstpage

757

Abstract

By means of a real world application a system identification method was investigated for nonlinear systems from input-output measurements. This approach based on an blended multiple model structure, which describes the global behaviour of the system over the whole operating range. At different operating points twenty local linear black-box models were identified in the frequency domain from a finite number of measurements of the input and output signals. A comparative study was made: of a grey-box model, which have been derived using physical laws and measurements of several process states to estimate unknown parameters

Keywords

actuators; identification; nonlinear dynamical systems; pneumatic control equipment; servomechanisms; blended multi-model approach; frequency domain; global behaviour; grey-box model; identification; input-output measurements; local linear black-box models; nonlinear systems; servo pneumatic actuator; Clustering algorithms; Frequency domain analysis; Frequency measurement; Laboratories; Noise measurement; Nonlinear systems; Pneumatic actuators; Servomechanisms; Signal processing; State estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Intelligent Mechatronics, 2001. Proceedings. 2001 IEEE/ASME International Conference on

Conference_Location

Como

Print_ISBN

0-7803-6736-7

Type

conf

DOI

10.1109/AIM.2001.936761

Filename

936761