基于主从微操作系统夹持力反馈机构的设计建模与分析
Design Modeling and Analysis of Clamping Force Feedback Mechanism Based on Master-Slave Micro-Operating System
DOI: 10.12677/mos.2024.136518, PDF,   
作者: 许 柔, 陈天凤:上海理工大学健康科学与工程学院,上海
关键词: 主从操作力反馈运动建模Master-Salve Operation Force Feedback Motion Modeling
摘要: 为了提高主从操作系统的操作精度以及增强临场感和跟随性,本文以主从式微操作系统为研究对象对力反馈部分进行设计并进行建模分析以及实验验证。首先以课题组研发的主从式微操作系统为对象并对主端外骨骼手力反馈部分进行设计,确定通过对主端外骨骼手增设电机细绳及弹簧的模块化设计。其次,以主从运动模式对系统进行分析并建立模型来实现夹持力反馈。通过适应主从微操作的特性将整个操作过程分为力跟随与力反馈两个部分并进行空间域内的运动分析,找出各个参数之间与运动过程的映射关系以实现力跟随部分的与力反馈的匹配运动。最后,通过单指实验验证了力跟随建模的良好适应性。
Abstract: In order to improve the operational precision, immersion, and responsiveness of a master-slave operation system, this paper focuses on the design, modeling, and experimental validation of the force feedback component of a master-slave micro-operation system. Initially, the force feedback component of the master exoskeleton hand, developed by the research team, was designed by adding a modular design with motors, fine cables, and springs. Subsequently, the system was analyzed using the master-slave motion model, and a model was established to achieve gripping force feedback. The entire operation process was divided into force following and force feedback components, with spatial domain motion analysis conducted to identify the mapping relationships between various parameters and the motion process, ensuring the coordination between force following and force feedback. Finally, the adaptability of the force-following model was validated through single-finger experiments.
文章引用:许柔, 陈天凤. 基于主从微操作系统夹持力反馈机构的设计建模与分析[J]. 建模与仿真, 2024, 13(6): 5702-5709. https://doi.org/10.12677/mos.2024.136518

参考文献

[1] Low, S.C. and Phee, L. (2006) A Review of Master-Slave Robotic Systems for Surgery. International Journal of Humanoid Robotics, 3, 547-567. [Google Scholar] [CrossRef
[2] Mochiyama, H., Shirato, Y., Kobayashi, H., Tatsuno, J. and Kawai, H. (2009) Suck-and-Blow Master-Slave System for Micro-Manipulation Based on Body Image Embedding. 2009 International Symposium on Micro-NanoMechatronics and Human Science, Nagoya, 8-11 November 2009, 332-337. [Google Scholar] [CrossRef
[3] Cortese, M., Cempini, M., de Almeida Ribeiro, P.R., Soekadar, S.R., Carrozza, M.C. and Vitiello, N. (2015) A Mechatronic System for Robot-Mediated Hand Telerehabilitation. IEEE/ASME Transactions on Mechatronics, 20, 1753-1764. [Google Scholar] [CrossRef
[4] Shields, B.L., Main, J.A., Peterson, S.W. and Strauss, A.M. (1997) An Anthropomorphic Hand Exoskeleton to Prevent Astronaut Hand Fatigue during Extravehicular Activities. IEEE Transactions on Systems, Man, and CyberneticsPart A: Systems and Humans, 27, 668-673. [Google Scholar] [CrossRef] [PubMed]
[5] Watanabe, K., Kawabuchi, I., Kawakami, N., Maeda, T. and Tachi, S. (2007). TORSO: Completion of Egocentric Telegnosis System. ACM SIGGRAPH 2007 Emerging Technologies, San Diego, 5-9 August 2007, 21-es.[CrossRef
[6] Guo, J., Jin, X., Guo, S. and Fu, Q. (2019) A Vascular Interventional Surgical Robotic System Based on Force-Visual Feedback. IEEE Sensors Journal, 19, 11081-11089. [Google Scholar] [CrossRef
[7] Chua, Z. and Okamura, A.M. (2022) Characterization of Real-Time Haptic Feedback from Multimodal Neural Network-Based Force Estimates during Teleoperation. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Kyoto, 23-27 October 2022, 1471-1478. [Google Scholar] [CrossRef
[8] Ding, R., Cheng, M., Han, Z., Wang, F. and Xu, B. (2022) Human-Machine Interface for a Master-Slave Hydraulic Manipulator with Vision Enhancement and Auditory Feedback. Automation in Construction, 136, Article ID: 104145. [Google Scholar] [CrossRef
[9] Puangmali, P., Liu, H., Seneviratne, L. D., Dasgupta, P. and Althoefer, K. (2012) Miniature 3-Axis Distal Force Sensor for Minimally Invasive Surgical Palpation. IEEE/ASME Transactions on Mechatronics, 17, 646-656. [Google Scholar] [CrossRef
[10] Hwang, G., Hashimoto, H., Szemes, P. and Ando, N. (2005) An Evaluation of Grasp Force Control in Single-Master Multi-Slave Tele-Micromanipulation. 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, Edmonton, 2-6 August 2005, 2179-2184. [Google Scholar] [CrossRef
[11] 方红根. 基于力反馈外骨骼手的多指灵巧手主从控制的研究[D]: [硕士学位论文]. 哈尔滨: 哈尔滨工业大学, 2010.
[12] Tadano, K. and Kawashima, K. (2010) Development of a Master-Slave System with Force-Sensing Abilities Using Pneumatic Actuators for Laparoscopic Surgery. Advanced Robotics, 24, 1763-1783. [Google Scholar] [CrossRef
[13] 张寒莉, 佀国宁. 基于映射算法面向电热微夹持器的遥操系统设计与控制策略研究[J]. 建模与仿真, 2024, 13(1): 12-23.