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首页> 外文期刊>International Journal of Control, Automation and Systems >Control of an exoskeleton robot arm with sliding mode exponential reaching law
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Control of an exoskeleton robot arm with sliding mode exponential reaching law

机译:滑模指数到达律控制外骨骼机器人手臂

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摘要

Robots are now working not only in human environments but also interacting with humans, e.g., service robots or assistive robots. A 7DoFs robotic exoskeleton MARSE-7 (motion assistive robotic-exoskeleton for superior extremity) was developed as an assistive robot to provide movement assistance and/or ease daily upper-limb motion. In this paper, we highlight the nonlinear control of MARSE-7 using the modified sliding mode exponential reaching law (mSMERL). Conventional sliding control produces chattering which is undesired for this kind of robotic application as it causes damage to the mechanical structure. Compared to conventional sliding control, our approach significantly reduces chattering and delivers a high dynamic tracking performance. The control architecture was implemented on a field-programmable gate array (FPGA) in conjunction with a RT-PC. In experiments, trajectory tracking that corresponds to typical passive arm movement exercises for single and multi joint movements were performed to evaluate the performance of the developed robot and the controller. Experimental results demonstrate that the MARSE-7 can effectively track the desired trajectories.
机译:如今,机器人不仅在人类环境中工作,而且还在与人类互动,例如服务机器人或辅助机器人。开发了一种7DoFs机器人外骨骼MARSE-7(用于上肢的运动辅助机器人外骨骼)作为提供运动帮助和/或减轻日常上肢运动的辅助机器人。在本文中,我们重点介绍了使用改进的滑模指数到达律(mSMERL)的MARSE-7的非线性控制。常规的滑动控制会产生颤动,这种颤动对于这种机器人应用是不希望的,因为它会导致机械结构损坏。与传统的滑动控制相比,我们的方法大大减少了抖动,并提供了很高的动态跟踪性能。该控制体系结构是在现场可编程门阵列(FPGA)上与RT-PC结合实现的。在实验中,执行了与典型的被动手臂运动练习(对应于单关节运动和多关节运动)相对应的轨迹跟踪,以评估开发的机器人和控制器的性能。实验结果表明,MARSE-7可以有效地跟踪所需的轨迹。

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