研究机器人关节的高灵敏度扭矩传感器的结构优化
Yizhou Chen1, Shenglin Yu2, Jinjie Xu1
1School of Electronic and Information Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China.
Sensors (Basel, Switzerland)
|January 28, 2026
概括
这项研究介绍了一种优化的砂钟孔型弹性机身,用于机器人联合扭矩传感器. 新的设计显著提高了灵敏度和材料利用率,以实现精确的实时扭矩感知.
科学领域:
- 机器人与机械工程 机器人与机械工程
- 传感器技术 传感器技术
- 材料科学 材料科学 材料科学
背景情况:
- 机器人操纵器需要实时,高精度的扭矩感知复杂的任务.
- 现有的联合扭矩传感器在灵敏度和材料效率方面存在局限性.
- 优化弹性身体结构对于提高传感器性能至关重要.
研究的目的:
- 设计和优化用于关节扭矩传感器的新型沙钟孔型弹性机身.
- 为了提高材料利用率和扭矩传感器的输出灵敏度.
- 为传感器设计建立一个高效的优化框架.
主要方法:
- 一个新的沙钟孔型弹性体的参数优化研究.
- 单因素实验用于识别有影响力的参数及其范围.
- 盒子-Behnken实验设计结合响应表面的方法为多目标优化.
- 弹性体的关键维度的分析.
主要成果:
- 优化的传感器结构显示材料利用率提高了13.1%,灵敏度增加了11.9%.
- 最终的传感器实现了0.558mV/N·m的基线灵敏度,比子孔结构提高了19.2%.
- 材料利用率进一步提高了3.1%,相比于优化的杆孔结构.
结论:
- 提出了一种新的高灵敏度沙钟孔型弹性身体配置.
- 为联合扭矩传感器设计建立了一个高效的响应表面优化框架.
- 这些发现为设计和优化使用线性弹性材料的高灵敏度扭矩传感器提供了新的见解.
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