RBF-Neural Network Adaptive PID Control for 3-Axis Stabilized Tracking System

Abstract

The 3-axis stabilized tracking system is a vital part of the anti-aircraft system. To achieve the demand on swiftness, precision and stability, an adaptive PID control algorithm based on RBF-NN is introduced. In order to verify the feasibility of the method, several experiments were taken under the same conditions while using both the traditional PID and the adaptive RBF-NN PID. The steady state error is 0.003¿, and the maximum tracking error is 0.203¿ when the signal frequency is 0.1Hz and the amplitude is 20¿ .The results of experiments proved that the RBF-NN adaptive PID controller performs well in the actual 3-axis stabilized tracking control system.