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实现人身和机器人交流的神经振动子控制算法 被引量:1
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作者 吴德明 谢光辉 王光建 《控制理论与应用》 EI CAS CSCD 北大核心 2015年第5期695-702,共8页
为实现人身和机器人交流时的运动同步,首先提出了一类非线性多关节神经振动子运动控制算法,其输入为机器人和人相互作用所产生的关节扭矩信号,输出为机器人关节期望角度;然后对具有代表性的二关节神经振动子控制算法中各参数的耦合特性... 为实现人身和机器人交流时的运动同步,首先提出了一类非线性多关节神经振动子运动控制算法,其输入为机器人和人相互作用所产生的关节扭矩信号,输出为机器人关节期望角度;然后对具有代表性的二关节神经振动子控制算法中各参数的耦合特性进行了分析;最后,基于7自由度机器人臂平台对该神经振动子控制算法的有效性进行实验.实验结果表明,该控制算法能够实现人和机器人相互运动的同步,通过调节神经振动子的增益参数,同步的程度能够被改变. 展开更多
关键词 神经振动子 人-机身体交流 比例微分(PD)反馈控制 运动同步 算法
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操作行为估计的人机交互控制实验
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作者 马志强 陈迅 《实验室研究与探索》 CAS 北大核心 2023年第12期35-41,共7页
为提高物理人机交互系统的柔顺效果,采用引入径向基神经网络进行物理人机交互(pHRI)过程中操作行为估计,以有限时间稳定的非奇异终端滑模为基础,改进对数项以提高pHRI过程中跟踪误差在面上运动的收敛能力,并部署操作人员和触觉力反馈装... 为提高物理人机交互系统的柔顺效果,采用引入径向基神经网络进行物理人机交互(pHRI)过程中操作行为估计,以有限时间稳定的非奇异终端滑模为基础,改进对数项以提高pHRI过程中跟踪误差在面上运动的收敛能力,并部署操作人员和触觉力反馈装置的交互控制实验,完成控制理论和机器人学综合创新拓展实训环节。实验表明,在pHRI过程中,基于操作行为估计的人机交互控制方法能够实现人机柔顺交互,并且保持0.3 mm的跟踪误差,所设计方法的具有有效性。 展开更多
关键词 操作行为估计 物理人机交互 滑模控制 柔顺交互
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Development and Analysis of an Electrically Actuated Lower Extremity Assistive Exoskeleton 被引量:9
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作者 Yi Long Zhijiang Du +7 位作者 Chaofeng Chen Weidong Wang Long He Xiwang Mao Guoqiang Xu Guangyu Zhao Xiaoqi Li Wei Dong 《Journal of Bionic Engineering》 SCIE EI CSCD 2017年第2期272-283,共12页
An electrically actuated lower extremity exoskeleton is developed, in which only the knee joint is actuated actively while other joints linked by elastic elements are actuated passively. This paper describes the criti... An electrically actuated lower extremity exoskeleton is developed, in which only the knee joint is actuated actively while other joints linked by elastic elements are actuated passively. This paper describes the critical design criteria and presents the process of design and calculation of the actuation system. A flexible physical Human-Robot-Interaction (pHR1) measurement device is designed and applied to detect the human movement, which comprises two force sensors and two gasbags attached to the inner surface of the connection cuff. An online adaptive pHRI minimization control strategy is proposed and implemented to drive the robotic exoskelcton system to follow the motion trajectory of human limb. The measured pHRI information is fused by the Variance Weighted Average (VWA) method. The Mean Square Values (MSV) of pHRI and control torque are utilized to evaluate the performance of the exoskeleton. To improve the comfort level and reduce energy consumption, the gravity compensation is taken into consideration when the control law is designed. Finally, practical experiments are performed on healthy users. Experimental results show that the proposed system can assist people to walk and the outlined control strategy is valid and effective. 展开更多
关键词 EXOSKELETON phri measurement data fusion phri minimization adaptive control
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An EMG-Based Biomimetic Variable Stiffness Modulation Strategy for Bilateral Motor Skills Relearning of Upper Limb Elbow Joint Rehabilitation 被引量:1
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作者 Ziyi Yang Shuxiang Guo +2 位作者 Keisuke Suzuki Yi Liu Masahiko Kawanishi 《Journal of Bionic Engineering》 SCIE EI CSCD 2023年第4期1597-1612,共16页
Bilateral rehabilitation systems with bilateral or unilateral assistive robots have been developed for hemiplegia patients to recover their one-side paralysis.However,the compliant robotic assistance to promote bilate... Bilateral rehabilitation systems with bilateral or unilateral assistive robots have been developed for hemiplegia patients to recover their one-side paralysis.However,the compliant robotic assistance to promote bilateral inter-limb coordination remains a challenge that should be addressed.In this paper,a biomimetic variable stiffness modulation strategy for the Variable Stiffness Actuator(VSA)integrated robotic is proposed to improve bilateral limb coordination and promote bilateral motor skills relearning.An Electromyography(EMG)-driven synergy reference stiffness estimation model of the upper limb elbow joint is developed to reproduce the muscle synergy effect on the affected side limb by independent real-time stiffness control.Additionally,the bilateral impedance control is incorporated for realizing compliant patient-robot interaction.Preliminary experiments were carried out to evaluate the tracking performance and investigate the multiple task intensities’influence on bilateral motor skills relearning.Experimental results evidence the proposed method could enable bilateral motor task skills relearning with wide-range task intensities and further promote bilateral inter-limb coordination. 展开更多
关键词 Biomimetic stiffness modulation Compliant physical human-robot interaction(phri) Electromyography(EMG) Variable stiffness actuator(VSA) Rehabilitation robotics Synergy-based control Skill relearning
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