Algorithm of Intelligent Speed Regulation of Fan Based on PID Neural Network

The traditional PID control has difficulties in parameter tuning, especially in complex working conditions to achieve optimal control effect. Therefore, BP neural network technology is introduced in this paper, and PID parameters are dynamically adjusted by back propagation algorithm to adapt to the changes of environmental temperature, humidity, and human activities. The experimental results show that the algorithm can quickly respond to environmental changes, achieve accurate speed control, and has good adaptability and anti-interference ability. Compared with the traditional PID control, the algorithm shows significant improvement in dynamic response speed, steady-state accuracy and energy saving effect, which provides a new technical idea for the development of intelligent fan speed control system.