基于重心稳定约束的下肢外骨骼机器人设计与控制研究
Research on Control and Design of the Lower Limb Exoskeleton Robot Based on the Center of Gravity Stability Constraints
DOI: 10.12677/MET.2020.92004, PDF,    科研立项经费支持
作者: 魏小华*:衢州职业技术学院,浙江 衢州;胡志福:衢州南方水泥有限公司,浙江 常
关键词: 下肢外骨骼康复机器人模块化关节运动学与动力学Lower Limb Exoskeleton Robot Modular Joint Kinematics and Dynamics
摘要: 为了实现人的控制与机械力量之间的结合,使人在保留自身具备的各种优点的同时具备机械的力量、速度和耐力,更加完美地发挥人与机器的功用,设计了一种下肢外骨骼机器人。该机器人主要由外骨骼机械腿和模块化关节组成,模块化关节有利于缩短产品的研发周期和外骨骼关节的维修与替换。建立下肢外骨骼机器人运动学与动力学模型,并结合Solidworks三维软件动态仿真模块进行仿真,得出了各关节的力矩,为下肢外骨骼机器人关节驱动电机的选型以及控制系统的设计提供了理论基础,实验结果表明,所设计的外骨骼机器人能适时产生辅助转矩,具有行走辅助与平衡保持的功能。
Abstract: In order to realize the combination of human control and mechanical force, and to enable human to have mechanical strength, speed and endurance while retaining various advantages, and to better play the functions of human and machine, an exoskeleton robot of lower limbs was designed. The robot is mainly composed of exoskeleton mechanical legs and modular joints. The modular joints are helpful to shorten the product development cycle and convenient to repair and replace exoskeleton joints. The kinematics and dynamics model of the lower limb exoskeleton robot was established, the joint torques of the lower limb exoskeleton rehabilitation robot were simulated by using the Solidworks 3D software dynamic simulation module, and the torque of each joint was obtained. It provides a theoretical basis for the selection of the joint drive motor and the product research and development. The experiments show that this lower limb exoskeleton can assist suitable torque at the correct time to let user walk easily and keep their balance.
文章引用:魏小华, 胡志福. 基于重心稳定约束的下肢外骨骼机器人设计与控制研究[J]. 机械工程与技术, 2020, 9(2): 35-52. https://doi.org/10.12677/MET.2020.92004

参考文献

[1] 林海丹, 张韬, 陈青, 等. 康复机器人辅助步行训练对不完全性脊髓损伤患者步行能力的影响[J]. 自动化学报, 2016, 42(12): 1832-1838.
[2] 尹正录, 孟兆祥, 薛永骥, 等. 康复机器人辅助步行训练对成年脑性瘫痪患者步行能力的影响[J]. 中国康复医学杂志, 2017, 32(1): 97-99.
[3] 张向刚, 张明, 秦开宇, 等. 外骨骼辅助行走中平衡控制技术的研究[J]. 载人航天, 2016, 22(6): 706-713.
[4] 糜思尧. 外骨骼式老年人辅助行走装置设计研究[J]. 工业设计, 2016(6): 67-72.
[5] Huysamen, K., Bosch, T., Looze, M.D., et al. (2018) Evaluation of a Passive Exoskeleton for Static Upper Limb Activities. Applied Ergonomics, 70, 148-155. [Google Scholar] [CrossRef] [PubMed]
[6] Yuan, P., Wang, T., Ma, F., et al. (2014) Key Technologies and Prospects of Individual Combat Exoskeleton. In: Knowledge Engineering and Management, Springer, Berlin Heidelberg, 305-316. [Google Scholar] [CrossRef
[7] Wang, X., Li, X.U., Yuan, L., et al. (2008) Effects of Xylo-Oligosaccharide(XOS) on Performance and Serum Indexes in Dairy Calf. Journal of Northeast Agricultural University, 39, 61-65.
[8] Feldman, V. and Vondrak, J. (2013) Optimal Bounds on Approximation of Submodular and XOS Functions by Juntas. IEEE, Symposium on Foundations of Computer Science, Berkeley, 26-29 October 2013, 227-236. [Google Scholar] [CrossRef
[9] Yamamoto, K., Ishii, M., Noborisaka, H., et al. (2004) Stand Alone Wearable Power Assisting Suit-Sensing and Control Systems. IEEE International Workshop on Robot and Human Interactive Communication, Kurashiki, 20-22 September 2004, 661-666.
[10] Yandell, M.B., Quinlivan, B.T., Popov, D., et al. (2017) Physical Interface Dynamics Alter How Robotic Exosuits Augment Human Movement: Implications for Optimizing Wearable Assistive Devices. Journal of Neuroengineering& Rehabilitation, 14, 40-50. [Google Scholar] [CrossRef] [PubMed]
[11] Carabin, G., Vidoni, R., Mazzetto, F., et al. (2017) Dynamic Model and Instability Evaluation of an Articulated Mobile Agri-Robot. Advances in Italian Mechanism Science. Springer International Publishing, Berlin. [Google Scholar] [CrossRef
[12] Sasaki, Y. (2011) Detection of the Intention from Gestures of Workers for a KanseiAgri-Robot. Agricultural Information Research, 20, 13-18. [Google Scholar] [CrossRef
[13] 孙建, 向馗, 高理富, 等. 基于外骨骼机器人技术的人体手臂震颤抑制的理论和方法[J]. 智能系统学报, 2012, 7(4): 283-293.
[14] 杨灿军, 周洪, 张欣, 等. 气动式多体位外骨骼下肢康复训练机器人CN201012158[P]. 2008.
[15] Talaty, M., Esquenazi, A. and Briceno, J.E. (2013) Differentiating Ability in Users of the ReWalk(TM) Powered Exoskeleton: An Analysis of Walking Kinematics. International Conference on Rehabilitation Robotics, 2013, Article ID: 6650469. [Google Scholar] [CrossRef
[16] Rigano, G., Muratore, L., Laurenzi, A., et al. (2018) Towards a Robot Hardware Abstraction Layer (R-Hal) Leveraging the XBot Software Framework. IEEE International Conference on Robotic Computing, Laguna Hills, 31 January-2 February 2018, 175-176. [Google Scholar] [CrossRef
[17] Chen, S., Chen, Z., Yao, B., et al. (2017) Adaptive Robust Cascade Force Control of 1-DOF Hydraulic Exoskeleton for Human Performance Augmentation. IFAC-PapersOnLine, 22, 589-600. [Google Scholar] [CrossRef
[18] Fukuda, T., Yokoyama, Y., Arai, F., et al. (2011) Vision Based Navigation System of Autonomous Mobile Robot (Position/Orientation Control by Landmark Recognition with Plus and Minus Primitives). Higher Education in Chemical Engineering, 62, 1720-1725.