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Experiment study of fuzzy impedance control on horizontal lower limbs rehabilitation robot

机译:卧式下肢康复机器人模糊阻抗控制的实验研究

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After the cerebrovascular disease majority patients will experience the weak time, the convulsion time and the recovery period three stages in the recovery process. In the different recovery stage, the changes of extremity's myodynamia and the myo-tensity will cause the control system not to be unstable. In view of this question, based on the traditional impedance control method, we presented Fuzzy variable impedance control using the force feedback information. The man-machine contact force will change when the myodynamia and the myo-tensity change in the training process. According to the change of the man-machine the contact force, we adjust impedance controller parameters online using the fuzzy logic reasoning. It can realize the advanced planning training path, and enables the robot to have certain flexibility to the trouble extremity. Meanwhile take the right leg as the example, experiment research is finished using the robot prototype. The curves of the convulsion time simulation convulsion position error and the force change were given. The impact of parameters on the rehabilitation is also analyzed. This controller may suit the disordered extremity in different recovery training stages, and it enables the recovery process to have the flexibility and to satisfy clinical needs also.
机译:脑血管疾病发生后,大多数患者在恢复过程中会经历虚弱的时间,惊厥时间和恢复期三个阶段。在不同的恢复阶段,肢体的肌痛和肌张力的变化将导致控制系统不稳定。针对这一问题,在传统的阻抗控制方法的基础上,提出了利用力反馈信息进行模糊可变阻抗控制的方法。在训练过程中,肌痛和肌张力发生变化时,人机接触力也会发生变化。根据人机接触力的变化,我们利用模糊逻辑推理在线调整阻抗控制器参数。它可以实现先进的计划训练路径,并使机器人对四肢有一定的灵活性。同时以右腿为例,利用机器人原型完成了实验研究。给出了惊厥时间模拟的惊厥位置误差和力变化曲线。还分析了参数对康复的影响。该控制器可以在不同的康复训练阶段适应四肢无序,并且使康复过程具有灵活性并满足临床需求。

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