Research on four axis manipulator trajectory tracking Based on RBF Neural Network Algorithm

Abstract

1. According to the characteristics of strong coupling tracking and highly nonlinear of four axis stamping robot, this paper based on neural network control theory proposes a manipulator trajectory tracking method based on RBF neural network. The algorithm is that the neural network as a mechanical arm joint servo controller realizes the fast tracking of mechanical arm movement posture. The simulation results show that this algorithm can improve the effectiveness and accuracy of mechanical arm trajectory tracking.