PID Control for 4 Rotor Flying Robot Using Neural Network for Automatic Adjustment of PID Gains

Abstract

A neural network based automatic adjustment system of PID gains is proposed. By this online learning method, the 4-rotor flying robot can deal with model errors and disturbances. Meanwhile, the sensor system makes the robot able to track objects and avoid obstacles automatically. The effectiveness of the proposed system is proven by experiments.