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气动系统中能量收集与运动传感解决方案的理论与实验研究

Theoretical and Experimental Study of Energy-Harvesting and Movement-Sensing Solutions in Pneumatic Systems.

作者信息

Tiboni Monica, Scassola Federico, Zanacchi Alessandro, Ghidini Marco

机构信息

Department of Mechanical and Industrial Engineering, University of Brescia, Via Branze, 38, 25123 Brescia, Italy.

Camozzi Automation s.p.a., via Eritrea, 20/I, 25126 Brescia, Italy.

出版信息

Sensors (Basel). 2024 Dec 3;24(23):7732. doi: 10.3390/s24237732.

Abstract

This paper presents an experimentally based study aimed at assessing the viability of employing a commercial energy harvester to develop a self-powered end-stroke and speed sensor for pneumatic cylinders. An energy-harvesting device was integrated into a cylinder end-cap to recover energy from the piston impact at the end of the stroke. The recovered energy powers a radio transmitter that communicates the reach of the end-stroke. This avoids the use of a dedicated end-stroke sensor, reducing the number of components in the system and also saving energy. The experiments aimed to analyze the signal characteristics generated by the module at various activation speeds, assessing whether the impact speed could be distinguished from the signal. Energy output and short-term usage effects were also investigated. The study seeks to further develop and adapt a Simulink model of the system, based on recent studies, and validate it with experimental findings at the tested activation speeds. Following confirmation of the adapted model's validity, the authors propose using genetic algorithms to design an optimized mechanical energy harvester. This approach aims to find the parameters of an energy harvester more suitable for pneumatic cylinder applications that would enable enhanced energy extraction and overall improved performances.

摘要

本文介绍了一项基于实验的研究,旨在评估采用商用能量采集器开发用于气缸的自供电行程终点和速度传感器的可行性。一个能量采集装置被集成到气缸端盖中,以从行程末端的活塞冲击中回收能量。回收的能量为一个无线电发射器供电,该发射器传达行程终点的位置。这避免了使用专用的行程终点传感器,减少了系统中的部件数量,同时也节省了能源。实验旨在分析该模块在不同激活速度下产生的信号特征,评估是否可以从信号中区分冲击速度。还研究了能量输出和短期使用效果。该研究旨在根据最近的研究进一步开发和调整系统的Simulink模型,并在测试的激活速度下用实验结果对其进行验证。在确认调整后的模型有效后,作者建议使用遗传算法设计优化的机械能采集器。这种方法旨在找到更适合气缸应用的能量采集器参数,从而实现增强的能量提取和整体性能的提升。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71d5/11644900/a47eb30f13f5/sensors-24-07732-g001.jpg

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