具有PID-PQT和MPC-PQT控制器的MATLAB/SIMULINK高流量医用CO2注入器模型

Kinana Rashwani, H. Wehbi, A. Kassem, Mouhammed Houssein Kbar, Mohamad Abou Ali, Saeed H. Bamashmos, Marcello Jack Saadeh, M. Hajj-Hassan, Ali Ali
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引用次数: 1

摘要

高流量医用二氧化碳(CO2)注入器是一种用于微创手术(MIS)的器械,在腹腔内产生空隙,使外科医生能够清楚地看到身体内部部位。在我们之前的工作中,提出了MATLAB/SIMULINK-Simscape医用CO2注入器模型,该模型由比例积分导数(PID)控制器控制,然后由模型预测控制器(MPC)控制腹腔参数(压力、流量和温度)。目前的工作允许以相同的方式同时控制三个参数,并在整个模型中引入一个高流量子系统,以最大限度地减少外科医生使用高流量原理达到设定压力所需的时间,从而提高系统的精度、准确性和响应时间。由于反应迅速,结果是有希望的。在未来的工作中,人工智能(AI)和快速成像处理器将与这种高流量充气器联系起来,从而在整个全自动控制系统中消除人为错误。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
MATLAB/SIMULINK High Flow Medical CO2 Insufflator Model with PID-PQT & MPC-PQT Controllers
High flow medical Carbon Dioxide (CO2) insufflator is an instrument utilized in a minimally invasive surgery (MIS) generating void within the abdominal cavity to equip surgeons with an explicit view of internal body parts. In our previous work, MATLAB/SIMULINK-Simscape medical CO2 insufflator model was promoted concerning parameters for abdominal cavity (pressure, flow, and temperature) controlled by a Proportional Integral Derivative (PID) controller, then by a Model Predictive Controller (MPC). This current work allows the simultaneous control of the three parameters in the same way with a twist of introducing a High Flow subsystem into the whole model in order to minimize the time needed to reach the set pressure by surgeon using high flow principle to promote the precision, accuracy, and the response time of the system. The results are promising due to the swift in response. In the future work, Artificial Intelligence (AI) and fast imaging processors are to be linked to such high flow insufflators leading to elimination of human error throughout a fully automated control system.
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