BP Neural Network PID Control of Stable Platform

Abstract

: Stable platform has been widely used in modern weapons and civil equipment due to its ability to isolate carrier interference, and research on key technologies for stable platforms has very important practical significance and application value. In this paper, the three-axis stabilized platform is taken as the research object. A control system based on multi-loop control structure is designed around the mathematical model of DC torque motor. The design and implementation of servo control system are carried out by using classical PID and BP neural network PID control algorithm respectively. The BP neural network PID control algorithm is verified by MATLAB simulation. Compared with classical PID control algorithm, it has higher control precision and anti-interference ability.