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Fuzzy control of high frequency ventilation

高频通气模糊控制

基本信息

批准号：
63571076
负责人：
NOSHIRO Makoto
金额：
$ 1.41万
依托单位：
Tokyo Medical and Dental University
依托单位国家：
日本
项目类别：
Grant-in-Aid for General Scientific Research (C)
财政年份：
1988
资助国家：
日本
起止时间：
1988 至 1989
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-63571076/
关键词：
High frequency ventilation Fuzzy control P_aCO_2 Oscillatory flow Mass transport Mechanical oscillation ファジイ制御

项目摘要

The main results of this research are divided into three parts; (1) a possible mechanism of high frequency ventilation (HFV), (2) a new method applying HFV and (3) a fuzzy control system of HFV.1. The possible mechanism of HFV Velocity profiles of oscillatory flows in a cylinder have been measured using a laser Doppler velocimeter. The velocity profile has been asymmetric with respect to the direction of the flow under certain conditions. This result implies that mass transport occurs even if volumes flowing into the cylinder is identical with those flowing out of it.2. The new method applying HFV A mechanical oscillating system consisting of a spring and a mass is driven by a centrifugal force resulting from unbalanced rotation. A parallel leaf spring restricts the freedom of the oscillation to one dimension. The oscillating system can generate relatively large oscillations by a low power motor with a small power, and it also ensures the safety of patients because the generated flow rate has an upper limit.3. The fuzzy control system of HFV A system using the fuzzy PI control rule has been designed to maintain a normal partial pressure of CO_2 in arterial blood (p_aCO_2). The inputs of the system are the error of p_aCO_2 (the deviation from the reference, 40 mmHg) and the change in the error; the output is the change in the rotation of HFV. The fuzzy compositional rule of inference produces the output fuzzy set from the inputs. The output fuzzy set is defuzzyficated by the so-called "center of mass" method to give the output. The experiment using dogs have shown that the control system can restore p_aCO_2 to the neighborhood of 40 mmhg when p_aCO_2 is disturbed. This result indicates that fuzzy control systems can be used for HFV. It is one of their advantage that they do not need the dynamic characteristics of HFV in detail.

本研究的主要成果分为三个部分；(1)高频通风的可能机理；(2)高频通风的应用新方法；(3)高频通风的模糊控制系统。用激光多普勒测速仪测量了圆柱内振荡流的高流速分布的可能机理。在某些条件下，速度分布与流动方向是不对称的。这个结果表明，即使流入圆柱体的体积与流出圆柱体的体积相同，也会发生质量传递。新方法采用由弹簧和质量组成的机械振荡系统，由不平衡旋转产生的离心力驱动。平行钢板弹簧将振动的自由度限制在一维。2 .振荡系统通过小功率的低功率电机产生较大的振荡，同时由于产生的流量有上限，保证了患者的安全。为了维持正常的动脉血CO_2分压（p_aCO_2），采用模糊PI控制规则设计了HFV A系统的模糊控制系统。系统的输入为p_aCO_2的误差（与参考值的偏差，40mmhg）和误差的变化；输出为HFV旋转的变化量。推理的模糊组合规则从输入产生输出模糊集。用所谓的“质心”法对输出模糊集进行解模糊，给出输出。犬实验表明，当p_aCO_2受到干扰时，该控制系统能将p_aCO_2恢复到40 mmhg附近。这表明模糊控制系统可以用于HFV。它们的优点之一是不需要详细了解HFV的动态特性。