Parameter identification from frequency response of MEMS energy harvesters

Autor:	Cuong Phu Le, Einar Halvorsen, Binh Duc Truong
Rok vydání:	2017
Předmět:	Frequency response Engineering Work (thermodynamics) business.industry Estimation theory Electric potential energy Stiffness Nonlinear system Transducer Control theory medicine medicine.symptom business Energy (signal processing)
Zdroj:	SPIE Proceedings.
ISSN:	0277-786X
DOI:	10.1117/12.2264094
Popis:	In this study, we present theoretical analysis and numerical results on a simple technique for extracting unknown model parameters for MEMS electrostatic energy harvesters. We show that the frequency response can be utilized in a least-squares minimization scheme to estimate the damping coefficient, mechanical stiffness and transducer/load parasitic capacitances. The accuracy of the method is tested by application to simulated cases of linear and non-linear harvesters. A single data sweep from such a pseudo-experiment suffices to determine the unknown parameters of the electromechanical model with accuracy. The method is shown to work satisfactorily for both linear and nonlinear devices.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::24511ec8f7a8e29db95df2b0de54f9ea https://doi.org/10.1117/12.2264094 Zobrazit plný text záznamu