行星齿轮振动切换反驱动性:设计参数设定及激振力估计

IF 1.5 Q3 INSTRUMENTS & INSTRUMENTATION ROBOMECH Journal Pub Date : 2023-11-10 DOI:10.1186/s40648-023-00264-w
Satsuya Noda, Ryo Igari, Kensuke Endo, Kazushi Yamanobe, Toshio Takayama
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引用次数: 0

摘要

摘要在协作机器人中,根据使用状态切换反驱动性是实现节能和顺应性的重要手段。作者提出了通过激励齿轮表面来切换反驱动性,从而消除了切换时对传感器的需求。我们已经证实,激动人心的2K-H行星齿轮可以切换其反向驾驶。为了系统地设计可切换的2K-H行星齿轮,研究揭示了较少的反驱动条件和振动器所需的扭矩。在非反向驱动条件下,固定齿轮和输出齿轮之间的齿数差异占主导地位。此外,随着输出轴载荷和振动频率的增加,激振器所需的转矩也随之增加。弱反驱动工况下的实验结果和振动器所需转矩与力学模型的仿真结果基本一致
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Switching backdrivability of a planetary gear by vibration: design parameter setting and excited force estimation
Abstract Switching backdrivability according to use status is important to attain energy-saving and compliance in co-worker robots. Authors have proposed switching backdrivability by exciting gear surface, eliminating the need for sensors while switching. We have confirmed that exciting 2K-H planetary gear can switch its backdrivability. To systematically design the switching backdrivable 2K-H planetary gear, this study reveals less back-drive condition and the required torque for a vibrator. In the less-backdrivable condition, the tooth number difference between the fixed and output gears is dominant. Furthermore, the required torque for the vibrator increases as the load of the output shaft and the vibration frequency increase. The experimental results of the less-backdrivable condition and the required torque for the vibrator are almost entirely consistent with simulation result of the mechanical model
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来源期刊
ROBOMECH Journal
ROBOMECH Journal Mathematics-Control and Optimization
CiteScore
3.20
自引率
7.10%
发文量
21
审稿时长
13 weeks
期刊介绍: ROBOMECH Journal focuses on advanced technologies and practical applications in the field of Robotics and Mechatronics. This field is driven by the steadily growing research, development and consumer demand for robots and systems. Advanced robots have been working in medical and hazardous environments, such as space and the deep sea as well as in the manufacturing environment. The scope of the journal includes but is not limited to: 1. Modeling and design 2. System integration 3. Actuators and sensors 4. Intelligent control 5. Artificial intelligence 6. Machine learning 7. Robotics 8. Manufacturing 9. Motion control 10. Vibration and noise control 11. Micro/nano devices and optoelectronics systems 12. Automotive systems 13. Applications for extreme and/or hazardous environments 14. Other applications
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