Suppr超能文献

基于操作的摩擦纳米发电机电源管理与输出电压控制

Operator-Based Triboelectric Nanogenerator Power Management and Output Voltage Control.

作者信息

Liu Chengyao, Shimane Ryusei, Deng Mingcong

机构信息

Department of Electrical and Electronic Engineering, Tokyo University of Agriculture and Technology, 2-24-16 Nakacho, Koganei-shi 184-8588, Tokyo, Japan.

出版信息

Micromachines (Basel). 2024 Aug 31;15(9):1114. doi: 10.3390/mi15091114.

Abstract

In this paper, an operator-based voltage control method for TENGs is investigated, achieving output voltage tracking without compensators and uncertainty suppression using robust right coprime factorization. Initially, a comprehensive simulation-capable circuit model for TENGs is developed, integrating their open-circuit voltage and variable capacitance characteristics. This model is implemented to simulate the behavior of TENGs with a rectifier bridge and capacitive load. To address the high-voltage, low-current pulsating nature of TENG outputs, a storage capacitor switching model is designed to effectively transfer the pulsating energy. This switching model is directly connected to a buck converter and operates under a unified control strategy. A complete TENG power management system was established based on this model, incorporating an operator theory-based control strategy. This strategy ensures steady output voltage under varying load conditions without using compensators, thereby reducing disturbances. Simulation results validate the feasibility of the proposed TENG system and the efficacy of the control strategy, providing a robust framework for optimizing TENG energy harvesting and management systems with significant potential for practical applications.

摘要

本文研究了一种基于算子的摩擦电纳米发电机(TENG)电压控制方法,该方法无需补偿器即可实现输出电压跟踪,并利用鲁棒右互质分解抑制不确定性。首先,开发了一个全面的、具备仿真能力的TENG电路模型,该模型整合了其开路电压和可变电容特性。利用该模型对带有整流桥和电容性负载的TENG行为进行仿真。为解决TENG输出的高电压、低电流脉动特性,设计了一个存储电容切换模型,以有效传输脉动能量。该切换模型直接连接到一个降压转换器,并在统一控制策略下运行。基于此模型建立了完整的TENG功率管理系统,纳入了基于算子理论的控制策略。该策略可确保在负载变化的情况下输出电压稳定,无需使用补偿器,从而减少干扰。仿真结果验证了所提出的TENG系统的可行性以及控制策略的有效性,为优化TENG能量收集和管理系统提供了一个强大的框架,具有显著的实际应用潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8265/11434550/69d88cdd8ce2/micromachines-15-01114-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验