Advanced Model Structures in Applied to System Identification of Mechanical Structures

• Autorzy: Czop, P.
• Języki publikacji: EN

Abstrakty

EN

This paper deals with a method for the parametric system identification of a nonlinear system consisting of a linear transfer function and a nonlinear output component, being a static function. The aim of this paper is to discuss and illustrate the case of identifying such a nonlinear system using various linear model structures. The method applies to modal analysis of such mechanical structures for which measurements are corrupted by residual harmonic disturbances resulting from system nonlinearities. The paper considers transfer function model structures that ensure low computational cost and are suitable for hardware implementation, that is, for cases where pure or hybrid nonlinear system identification methods, like neural network models or the Hammerstain-Wiener model, are too time consuming and thus not practical. Simulation data has been used to illustrate the feasibility and numerical performance of the proposed approach.

Słowa kluczowe

EN

system identification; mechanical system; parametric model

• Czasopismo: Machine Dynamics Problems
• Rocznik: 2009
• Tom: Vol. 33, No. 1
• Strony: 39-54
• Opis fizyczny: Bibliogr., 18 poz., wykr.

Twórcy

autor

Czop, P.

• AGH University of Science and Technology. Department of Robotics and Mechatronics,

Bibliografia

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