Research on Fuzzy PID Control Algorithm for Lower Limb Rehabilitation Robot

Author(s):  
Hongbo Wang ◽  
Tingting Lu ◽  
Baoshan Niu ◽  
Hao Yan ◽  
Xincheng Wang ◽  
...  
2014 ◽  
Vol 643 ◽  
pp. 15-20
Author(s):  
Ming Xiong

This paper studies the PID control algorithm of foot-pedal lower limb rehabilitation robot which can be viewed as a single closed-loop DC speed regulating system. It is necessary to ensure the steady state of the system under various types of interference and the setting of PID parameters will take a lot of time and energy. For this reason, GA (Genetic Algorithms) is used to set the PID parameters in this paper, PID parameters optimized by different goal functions are presented. The simulation results show that the GA simplifies the setting of PID parameters, for different goal functions make the system outputs have different characteristics.


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

2017 ◽  
Author(s):  
Yifei Feng ◽  
Guoping Lu ◽  
Lulin Yue ◽  
Weifeng Jiang ◽  
Ye Zhang

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