PID Control Based On Double Fuzzy RBF Neural Network For 7-DOF Manipulator

In this paper, a PID control system based on Double Radial Basis Function(RBF) neural network is proposed for time-varying systems such as 7-DOF mechanical arm. This system combines the benefits of PID control system, fuzzy control system as well as neural network control system while being able to classify the errors and variations and keep them under control. In this paper, MATLAB/SIMULINK is used to carry out simulation tentative on this system The results show that this system can indeed make the processing faster and more accurate..