Research on Fuzzy PID Control Algorithm for Lower Limb Rehabilitation Robot

Abstract

Cerebrovascular disease, hemiplegia and paraplegia may lead to lower extremity motor dysfunction. According to the theory of neural rehabilitation, proper rehabilitation training can help patients recover. In this paper, a lower limb rehabilitation robot is proposed, which can realize passive training and active training. Firstly, the mechanical structure and electrical system are designed. Secondly, in order to solve the problem of inaccurate parameters in the dynamic model of robot joint torque control, a fuzzy adaptive PID controller is established by combining negative feedback with PID regulator to eliminate the system error.