Academic Journal

Modeling and Adaptive Parameter Estimation for a Piezoelectric Cantilever Beam

التفاصيل البيبلوغرافية
العنوان: Modeling and Adaptive Parameter Estimation for a Piezoelectric Cantilever Beam
المؤلفون: Wang, Bin, Costa Castelló, Ramon, Na, Jing, Torre, Óscar de la, Escaler Puigoriol, Xavier
المساهمون: European Commission, National Natural Science Foundation of China, Yunnan Province, Agencia Estatal de Investigación (España), Ministerio de Ciencia, Innovación y Universidades (España), China Scholarship Council
بيانات النشر: Institute of Electrical and Electronics Engineers
سنة النشر: 2023
المجموعة: Digital.CSIC (Consejo Superior de Investigaciones Científicas / Spanish National Research Council)
مصطلحات موضوعية: Piezoelectric cantilever beam, Beam modelling, Partial differential equation (PDE), Adaptive parameter estimation
الوصف: This paper proposes a new adaptive estimation approach to online estimate the model parameters of a piezoelectric cantilever beam. The beam behavior is firstly modeled using partial differential equations (PDE) considering the Kelvin-Voigt damping. To facilitate the estimation of unknown model parameters, the Galerkin's method is introduced to extract desired vibration modes by separating the time and space variables of the PDE. Then, considering two major vibration modes, the corresponding system model can be represented by a fourth-order ordinary differential equation (ODE). Finally, by using measured input and output information, a novel adaptive parameter estimation strategy is introduced to estimate the unknown parameters of the derived ODE model in real time. For the purpose of driving the parameter updating law, the estimation error is extracted by using an auxiliary variable and a time-varying gain. Consequently, the convergence of the parameter estimation error is rigorously proved based on the Lyapunov theory. Simulations and experimental results show the validity and practicability of the proposed estimation method. ; European Union’s Horizon 2020 Research and Inovation Program (Grant Number: 814958) 10.13039/501100001809-National Natural Science Foundation of China (Grant Number: 62273169, 61922037 and 61873115) Yunnan Fundamental Research Project (Grant Number: 202001AV070001) Project DOVELAR (Grant Number: RTI2018-096001-B-C32) 10.13039/501100004543-Chinese Scholarship Council (Grant Number: 201908530215)
نوع الوثيقة: article in journal/newspaper
وصف الملف: application/pdf
اللغة: unknown
تدمد: 1549-8328
Relation: #PLACEHOLDER_PARENT_METADATA_VALUE#; info:eu-repo/grantAgreement/EC/H2020/814958; info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-096001-B-C32/ES/CONTROL Y GESTION DE ENERGIA EN VEHICULOS ELECTRICOS HIBRIDOS CON PILAS DE COMBUSTIBLE/; Postprint; The underlying dataset has been published as supplementary material of the article in the publisher platform at http://dx.doi.org/10.1109/TCSI.2022.3218189; http://dx.doi.org/10.1109/TCSI.2022.3218189; Sí; e-issn: 1558-0806; IEEE Transactions on Circuits and Systems - I - Regular Papers 70: 481-491 (2023); http://hdl.handle.net/10261/339745
DOI: 10.1109/TCSI.2022.3218189
الاتاحة: http://hdl.handle.net/10261/339745
https://doi.org/10.1109/TCSI.2022.3218189
Rights: open
رقم الانضمام: edsbas.7E0DDC24
قاعدة البيانات: BASE
الوصف
تدمد:15498328
DOI:10.1109/TCSI.2022.3218189