船电技术2025，Vol.45Issue(1)：1-4,4.
基于IPSO-BP神经网络算法的微高压氧舱氧气浓度控制研究
Research on oxygen concentration control of micro hyperbaric oxygen chamber based on IPSO-BP neural network algorithm
摘要
Abstract
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.关键词
IPSO/BP神经网络/氧气浓度控制Key words
IPSO/BP neural network/oxygen concentration control分类
计算机与自动化引用本文复制引用
姬鹏飞,王晓芬,金远远..基于IPSO-BP神经网络算法的微高压氧舱氧气浓度控制研究[J].船电技术,2025,45(1):1-4,4.基金项目
安阳市重点研发与推广专项项目(2023C01SF125) （2023C01SF125）
