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An Asymmetric Adaptive Approach to Enhance Output Power in Kinetic-Based Microgenerators

Published

Author(s)

Masoud Roudneshin, Kamran Sayrafian, Amir Aghdam

Abstract

A Coulomb force parametric generator (CFPG) can be used to harvest energy from the natural human body motion. This micro-harvester is the architecture of choice for integration with small wearable (or implantable) sensors. In this paper, an asymmetric adaptive approach to estimate the electrostatic force in a CFPG using the acceleration waveform is proposed. Simulations using human motion measurements show that the proposed approach achieves considerable gain in the harvested energy compared to the previously studied symmetric adaptive methodologies.
Conference Dates
October 31-November 2, 2022
Conference Location
Dallas, TX, US
Conference Title
2022 IEEE Sensors

Citation

Roudneshin, M. , Sayrafian, K. and Aghdam, A. (2022), An Asymmetric Adaptive Approach to Enhance Output Power in Kinetic-Based Microgenerators, 2022 IEEE Sensors, Dallas, TX, US, [online], https://doi.org/10.1109/SENSORS52175.2022.9967112, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=935341 (Accessed April 23, 2024)
Created December 8, 2022, Updated March 28, 2024