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  • 學位論文

比較SRIM、SSI及RLS於結構系統識別中最佳化模式參數之決定

Determine the Optimal Model Parameters Using SRIM、SSI and RLS Methods on Structural System Identification

指導教授 : 羅俊雄

摘要


系統識別乃是從結構量測而得之輸出入資料中,利用數學模型鑑定結構系統特性及推算結構力學模型。本文之目的在於將各種系統識別方法中所需求得之未知參數作有系統性的規劃,使不同的使用者都能有一套詳細的流程及定義可以參考。在此我們介紹三種識別方法,分別是信息矩陣之系統實現理論 (System Realization using Information Matrix ,SRIM) 、隨機次空間運算法(Stochastic Subspace Identification method ,SSI)以及使用ARX模型之遞迴最小平方法(Recursive Least Squares ,RLS),分別根據各方法中的參數作一完整的選取準則,同時以模態物理參數(自然頻率、阻尼比及模態振型)作為各方法間比較的依據。 為了驗證本文提出識別步驟之可行性及有效性,首先我們選擇一模擬之三層樓結構來作為測試及說明。同時也將此技術應用至各種振動台之實驗以及真實結構物-中央百世大樓均能有良好之識別結果。

並列摘要


System identification is a procedure to determine the system characteristics of structure and the parameters of mathematical model for structural mechanics from measured input and output data.. The purpose of this paper is to identify ways in various systems of unknown parameters required to seek a systematic planning,so that different users can have a detailed process and the definition of reference. Here, we introduced three identification methods, respectively are System Realization using Information Matrix (SRIM)、Stochastic Subspace Identification method(SSI) and Recursive Least Squares with ARX model (RLS), Were in accordance with the parameters in the way for a complete selection criteria, to modal physical parameters (natural frequency, damping ratio and the mode shape) as the basis for comparison between the methods. In order to verify the steps proposed in this paper to identify the feasibility and effectiveness, first of all, we choose a simulated three floors of the structure as a test and description. Application of this technology but also to all kinds of shaking table and the real test of the structure - the central Bai-shin building can have good results of the identification.

參考文獻


[1] Ljung, L., “System Identification : Theory for the User “,
Hempstead, Hertfordshire, 1989
[3] Dickinson, B., Kailath, T. and Morf, M,” Canonical Matrix fraction and state space descriptions for deterministic and stochastic linear systems”, IEEE Transactions on Automatic Control, Vol AC-19, pp.656-667,1974
[5] Moore, B.C. 1981. Principal component analysis in linear systems: Controllability, Observability and Model Reduction, IEEE Transaction on Automatic Control, Vol AC-26(1) 17-32.
International Journal of control, Vol.17, No.2 , pp.153,1974

被引用紀錄


林怡廷(2012)。唯輸出理論之地震損傷探測分析與實驗驗證〔碩士論文,國立交通大學〕。華藝線上圖書館。https://doi.org/10.6842/NCTU.2012.00811
王智洋(2011)。狀態空間DLV法在剪力構架之地震損傷探測分析與實驗驗證〔碩士論文,國立交通大學〕。華藝線上圖書館。https://doi.org/10.6842/NCTU.2011.00596
謝柏翰(2011)。應用狀態空間DLV法在扭轉耦合結構之地震損傷探測〔碩士論文,國立交通大學〕。華藝線上圖書館。https://doi.org/10.6842/NCTU.2011.00593

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