A Cerebellar Model and Simulation of Arm Motion Control Based on Fuzzy Logic

This paper introduces the concept of fuzzy set and proposes a fitzzy cerehellar model for robotic manipulator control by combining the cerebellar model with the fuzzy theory. This model introduces the membership degree of fuzzy set into the input layer of cerehellar model to reflect the objective world more accurately. It can not only move the ann along a specific path like a bionic cerebellar model, but also have higher integrity. The corresponding simulation experiments are carried out using the MATLAB platform and the experimental results show that the new model can control the arm exactly like the cognitive cerebellar model after several studies, and has higher control accuracy.