Study on RBF Network Adaptive Control for Robot Loading Based on Uncertainty Compensation

Abstract

In order to meet fast and accurate auto-loading, insure stable system, fast minish error, and minish interference signal influence, RBF network adaptive control based on uncertainty compensation is adopted in this thesis. By simulation, simulation results show that this control method can meet control requiements.