The Intelligent Flow Control of LED Phosphor Powder Based on WPA-BPNN-PID Algorithm

Abstract

In the process of LED chip coating, the steady flow at the spray gun in a unit time has a significant impact on the final luminous effect. Traditional PID control is difficult to control the flow accurately due to the nonlinearity of phosphor powder. In order to improve the luminous quality, a neural network PID control method based on wolf pack algorithm is proposed(WPA-BPNN-PID) in this paper. First, the weights and thresholds of BP neural network are optimized by using the wolf pack algorithm to improve the training speed and prediction accuracy. Second, the optimal PID control parameters are searched online by using the optimized BP neural network. Finally, the traditional PID control algorithm, neural network PID control algorithm and WPA-BPNN-PID algorithm are simulated by MATLAB simulation software. The experimental results show that the proposed WPA-BPNN-PID algorithm has better dynamic and static performance, anti-interference ability, and thus can further accurately control the colloid flow of phosphor powder in unit time.