Research on oxygen concentration control of micro hyperbaric oxygen chamber based on IPSO-BP neural network algorithm
In response to the poor control effect and low automation level of oxygen concentration in micro hyperbaric oxygen chambers,this article analyzes the working principle of the oxygen supply system in micro hyperbaric oxygen chambers,models the process of oxygen concentration control in the chamber,and uses IPSO-BP neural network PID control algorithm to optimize the control of oxygen concentration.The simulation results show that compared with BP neural network PID algorithm and PSO-BP neural network PID algorithm,IPSO-BP neural network PID algorithm effectively combines the advantages of IPSO global search optimization and BP neural network nonlinear mapping,and has fast and accurate control effect,good anti-interference ability,which has certain practical value.
万方数据
维普
