2 June 2017 Parameter identification from frequency response of MEMS energy harvesters
Author Affiliations +
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.
Conference Presentation
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Binh Duc Truong, Binh Duc Truong, Cuong Phu Le, Cuong Phu Le, Einar Halvorsen, Einar Halvorsen, } "Parameter identification from frequency response of MEMS energy harvesters", Proc. SPIE 10246, Smart Sensors, Actuators, and MEMS VIII, 102460U (2 June 2017); doi: 10.1117/12.2264094; https://doi.org/10.1117/12.2264094

Back to Top