https://scholars.lib.ntu.edu.tw/handle/123456789/576166
標題: | Unknown parameter excitation and estimation for complex systems with dynamic performances | 作者: | Chen Y.-P Chan K.-Y. KUEI-YUAN CHAN |
關鍵字: | Sensitivity analysis; 95% credible intervals; Dynamic model validation; Dynamic performance; Estimating parameters; Global sensitivity analysis; Hypothesis testing; Optimal excitation; Product development cycle; Parameter estimation | 公開日期: | 2021 | 卷: | 143 | 期: | 9 | 來源出版物: | Journal of Mechanical Design, Transactions of the ASME | 摘要: | Simulation models play crucial roles in efficient product development cycles, therefore many studies aim to improve the confidence of a model during the validation stage. In this research, we proposed a dynamic model validation to provide accurate parameter settings for minimal output errors between simulation models and real model experiments. The optimal operations for setting parameters are developed to maximize the effects by specific model parameters while minimizing interactions. To manage the excessive costs associated with simulations of complex systems, we propose a procedure with three main features: the optimal excitation based on global sensitivity analysis (GSA) is done via metamodel techniques, for estimating parameters with the polynomial chaos-based Kalman filter, and validating the updated model based on hypothesis testing. An illustrative mathematical model was used to demonstrate the detail processes in our proposed method. We also apply our method on a vehicle dynamic case with a composite maneuver for exciting unknown model parameters such as inertial and coefficients of the tire model; the unknown model parameters were successfully estimated within a 95% credible interval. The contributions of this research are also underscored through multiple cases. Copyright ? 2021 by ASME |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85107703633&doi=10.1115%2f1.4050107&partnerID=40&md5=7cccf81918cecd0118424cf164260127 https://scholars.lib.ntu.edu.tw/handle/123456789/576166 |
ISSN: | 10500472 | DOI: | 10.1115/1.4050107 |
顯示於: | 機械工程學系 |
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