Study on pH Control of Haematococcus pluvialis Solution Based on Neural Network Controller
This paper mainly studies the control method of pH value in Haematococcus pluvialis algae solution.Aiming at the problems of large overshoot,difficulty in setting control parameters,long adjustment time and poor anti-interference ability of conventional PID in the process of pH control,a method combining BP-NN(back propagation neural network)algorithm with PID control is proposed.This method makes use of the complex non-linear mapping ability and strong learning ability of BP-NN to achieve precise control of the control system.In order to verify this method can enhance the control effect of the system,a mathematical model of the pH value of Haematococcus pluvialis algae solution was established,and the simulation research and analysis were carried out by using Matlab.The simulation results show that the BP-NN PID controller designed in this paper has better stability and robustness to the pH control of algae solution pH control,and the control quality has obvious advantages.
Haematococcus pluvialis pH BP neural network
Shigang Cui Yunqi Huang Lin He Yongli Zhang Xingli Wu
Tianjin University of Technology and Education,Tianjin,China
国际会议
江苏镇江
英文
401-407
2019-09-20（万方平台首次上网日期，不代表论文的发表时间）