scholarly journals Nonlinear System Identification through Local Model Approaches: Partitioning Strategies and Parameter Estimation

10.5772/10019 ◽  
2010 ◽  
Author(s):  
Christoph Hametner ◽  
Stefan Jakubek
Keyword(s):  
Parameter Estimation ◽  
System Identification ◽  
Nonlinear System ◽  
Nonlinear System Identification ◽  
Local Model

scholarly journals Nonlinear System Identification of Folding Fins with Freeplay Using Direct Parameter Estimation

2019 ◽  
Vol 2019 ◽  
pp. 1-8
Author(s):  
Zhi-Sai Ma ◽  
Bo Wang ◽  
Xin Zhang ◽  
Qian Ding
Keyword(s):  
Parameter Estimation ◽  
System Identification ◽  
Nonlinear System ◽  
A Priori ◽  
Nonlinear System Identification ◽  
Estimation Method ◽  
Nonlinear Behavior ◽  
Significance Test ◽  
Nonlinear Dynamic Model ◽  
Assembly Error

Folding fins are widely adopted in missiles for the efficient use of space during storage and transportation, while nonlinear behavior of freeplay is inevitable due to the factors such as mismachining tolerance, assembly error, and abrasion. The problem of nonlinear system identification of folding fins with freeplay is considered in this paper. A direct parameter estimation method which can identify the nonlinear system with freeplay under base excitation is proposed and subsequently applied to establish the nonlinear dynamic model of a folding fin. The best set of coefficients is selected by using the significance test, allowing the proposed method to detect and locate the most relevant nonlinearities of the practical structure. Experimental results demonstrate that the proposed method is able to decouple the linear and nonlinear dynamics of a nonlinear structure and estimate natural frequencies of the derived linear system along with nonlinear internal forces in one computational step, even if no a priori knowledge of the type of nonlinearities is given.

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