Next Article in Journal
Macroissues with Microplastics: A Review on Distribution, Environmental Impacts, Pollutant Interactions, Toxicity, Analytical Methodology and Mitigation Strategies
Previous Article in Journal
An Assisted Numerical Simulation Diagnosis Method for Atherosclerosis Based on Hemodynamics
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Filtered Operator-Based Nonlinear Control for DC–DC Converter-Driven Triboelectric Nanogenerator System

by
Ryusei Shimane
,
Chengyao Liu
and
Mingcong Deng
*
Department of Electrical Engineering and Computer Science, Tokyo University of Agriculture and Technology, 2-24-16 Nakacho, Koganei-shi 184-0012, Tokyo, Japan
*
Author to whom correspondence should be addressed.
Appl. Sci. 2025, 15(7), 4054; https://doi.org/10.3390/app15074054
Submission received: 22 February 2025 / Revised: 31 March 2025 / Accepted: 4 April 2025 / Published: 7 April 2025

Abstract

In recent years, with the growing interest in the Internet of Things (IoT) and decarbonization, energy harvesting has been attracting attention. Energy harvesting is a technology that converts ambient energy such as light, heat, and vibration into electrical power, and it is also known as environmental power generation. A triboelectric nanogenerator is a type of energy harvesting device that converts mechanical energy, such as vibration, into electrical energy using the triboelectric effect and electrostatic induction. The advantages of this device include low cost and high durability. Due to the principle of triboelectric nanogenerators, a stable output voltage cannot be obtained, so auxiliary circuits such as DC–DC converters are required to obtain the desired voltage. In this paper, a DC–DC converter is utilized, controlled by a system based on operator theory, with a filter incorporated to enhance tracking performance, ensuring that the output voltage follows the target value.
Keywords: operator theory; nonlinear control; triboelectric nanogenerator; right coprime factorization; DC–DC converter; circuit model operator theory; nonlinear control; triboelectric nanogenerator; right coprime factorization; DC–DC converter; circuit model

Share and Cite

MDPI and ACS Style

Shimane, R.; Liu, C.; Deng, M. Filtered Operator-Based Nonlinear Control for DC–DC Converter-Driven Triboelectric Nanogenerator System. Appl. Sci. 2025, 15, 4054. https://doi.org/10.3390/app15074054

AMA Style

Shimane R, Liu C, Deng M. Filtered Operator-Based Nonlinear Control for DC–DC Converter-Driven Triboelectric Nanogenerator System. Applied Sciences. 2025; 15(7):4054. https://doi.org/10.3390/app15074054

Chicago/Turabian Style

Shimane, Ryusei, Chengyao Liu, and Mingcong Deng. 2025. "Filtered Operator-Based Nonlinear Control for DC–DC Converter-Driven Triboelectric Nanogenerator System" Applied Sciences 15, no. 7: 4054. https://doi.org/10.3390/app15074054

APA Style

Shimane, R., Liu, C., & Deng, M. (2025). Filtered Operator-Based Nonlinear Control for DC–DC Converter-Driven Triboelectric Nanogenerator System. Applied Sciences, 15(7), 4054. https://doi.org/10.3390/app15074054

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop