Design of Adaptive PID Control System Based on Embedded Device

Abstract

In view of the current difficulty in setting PID controller parameters and high cost and power consumption, an adaptive PID system based on embedded devices is designed by taking ball on plate system as an example. The article first introduces the PID algorithm and improves the PID algorithm.The model is then analyzed and simplified for further analysis. Based on the simplified model, a neural network based on real-time parameter updating is proposed to improve the control accuracy and reduce the control time. After simplifying the control network, it is transplanted to the embedded device to implement PID adaptive control. Finally, the feasibility of the system is verified by comparative experiments.