Three-Axis Balanced Camera Stabilizer Design Based on Neural Network BP Algorithms Combine PID Control

Abstract

In this paper, the self-learning ability of BP neural network is used to achieve the purpose of adaptive tuning of the PID parameters of the three-axis balanced camera stabilizer, so as to reduce the blur caused by external factors such as jitter of the camera image. Through the corresponding simulation experiments, it is verified that the PID controller can control the PID controller through the BP neural network, which can make the system have higher precision and stronger stability, can maintain the balance of the picture, and achieve precise control effect on the position of the camera.