CPAP呼吸机优化控制方法的仿真研究

摘要

研究呼吸机的优化控制问题.不同人在不同姿势,不同身体状态下,所需的持续气道正压通气压力不同,同一个病人在不同情况下需要的压力值也不是一个恒定的数值,变化过程具有很强的非线性.传统的PID控制算法很难做到精确调节系数变量以适应这些复杂的压力动态需求,造成压力控制模型稳定性极差,对呼吸机的压力控制不稳.为了避免上述缺陷,提出了一种用PID复合控制算法的CPAP呼吸机优化控制方法.根据病人的身体状态参数,计算呼吸机适应性参数,根据CPAP呼吸机运行状态参数,建立呼吸机压力控制模型,从而实现CPAP呼吸机的优化控制.实验结果表明,利用提出的算法能够完成CPAP呼吸机的优化控制,提高了呼吸机压力控制的稳定性.%The breathing machine optimization control problem was studied.This paper proposed a composite based on fuzzy PID control algorithm of CPAP breathing machine optimization control method.According to the patient's body state parameters,the breathing machine adaptive parameter was calculated.According to GPAP breathing machine running state parameter,the breathing machine pressure control model was established,so as to realize the optimal control of the breathing machine.The experimental results show that using this algorithm can accomplish CPAP breathing machine optimization control and improve the breathing machine pressure control stability.