The control of lower limb rehabilitation robot with multi-pose based on man-machine coupling and fuzzy PID Online publication date: Wed, 31-Jan-2024
by Xiaomei Kang
International Journal of Reasoning-based Intelligent Systems (IJRIS), Vol. 15, No. 3/4, 2023
Abstract: In order to accurately control the joint displacement and joint angle of the lower limb rehabilitation robot, a control method for lower limb rehabilitation robot with multi-pose based on man-machine coupling and fuzzy PID is proposed. According to the theory of lower limb rehabilitation medicine, the human lower limb model is constructed. The FSR membrane pressure sensor is selected to obtain the man-machine contact force. Based on the man-machine coupling theory, the interaction requirements between the patient and the lower limb rehabilitation robot are analysed. The fuzzy PID controller is designed to control the lower limb rehabilitation robot with multi-pose on the basis of fuzzy rules to help the patient complete the rehabilitation training. The experimental results show that the proposed method can accurately control the joint displacement and joint angle of the lower limb rehabilitation robot, and has good positioning accuracy.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Reasoning-based Intelligent Systems (IJRIS):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com