Design and Test of Admittance Control with Inner Adaptive Robust Position Control for a Lower Limb Rehabilitation Robot

2019 ◽  
Vol 18 (1) ◽  
pp. 134-142 ◽  
Author(s):  
Zhihang Shen ◽  
Yu Zhuang ◽  
Jie Zhou ◽  
Jinwu Gao ◽  
Rong Song
2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Yongfei Feng ◽  
Hongbo Wang ◽  
Hao Yan ◽  
Xincheng Wang ◽  
Zhennan Jin ◽  
...  

The lower limb rehabilitation robot is an application of robotic technology for stroke people with lower limb disabilities. A new applicable and effective sitting/lying lower limb rehabilitation robot (LLR-Ro) is proposed, which has the mechanical limit protection, the electrical limit protection, and the software protection to prevent the patient from the secondary damage. Meanwhile, as a new type of the rehabilitation robots, its hip joint rotation ranges are different in the patient sitting training posture and lying training posture. The mechanical leg of the robot has a variable workspace to work in both training postures. So, if the traditional mechanical limit and the electrical limit cannot be used in the hip joint mechanism design, a follow-up limit is first proposed to improve the compatibility of human-machine motion. Besides, to eliminate the accident interaction force between the patient and LLR-Ro in the process of the passive training, an amendment impedance control strategy based on the position control is proposed to improve the compliance of the LLR-Ro. A simulation experiment and an experiment with a participant show that the passive training of LLR-Ro has compliance.


Author(s):  
Jingang Jiang ◽  
Xuefeng Ma ◽  
Biao Huo ◽  
Xiaoyang Yu ◽  
Xiaowei Guo ◽  
...  

2014 ◽  
Vol 672-674 ◽  
pp. 1770-1773 ◽  
Author(s):  
Fu Cheng Cao ◽  
Li Min Du

Aimed at improving the dynamic response of the lower limb for patients, an impedance control method based on sliding mode was presented to implement an active rehabilitation. Impedance control can achieve a target-reaching training without the help of a therapist and sliding mode control has a robustness to system uncertainty and vary limb strength. Simulations demonstrate the efficacy of the proposed method for lower limb rehabilitation.


2017 ◽  
Vol 11 (1) ◽  
pp. 97-108 ◽  
Author(s):  
Vahab Khoshdel ◽  
Alireza Akbarzadeh ◽  
Nadia Naghavi ◽  
Ali Sharifnezhad ◽  
Mahdi Souzanchi-Kashani

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