MODEL UPDATE WITH THE OBSERVER/KALMAN FILTER AND GENETIC ALGORITHM APPROACH

被引：0

作者：

Lozina, Zeljan ^{[1
]}

Sedlar, Damir ^{[1
]}

Vucina, Damir ^{[1
]}

机构：

[1] Univ Split, Fac Elect Engn Mech Engn & Naval Architecture, Split 21000, Croatia

来源：

TRANSACTIONS OF FAMENA | 2012年 / 36卷 / 02期

关键词：

system identification; model update; observer; Kalman filter; genetic algorithm; MULTIOBJECTIVE OPTIMIZATION TECHNIQUE;

D O I：

暂无

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

The discrete time Observer/Kalman model identification technique is implemented in order to identify the structure pulse response. The model updating procedure based on the finite element model pulse response of the test structure and the genetic algorithm is developed. The objective function evaluates the difference between the system and the model pulse responses. The modal assurance criteria implementation is considered. The model reduction in order to match the model degrees of freedom (dofs) and the test structure dofs involved in the experiment is discussed. A case study on the frame test structure is provided.

引用

页码：9 / 22

页数：14

共 14 条

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