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Design of a fuzzy controller for the automation of an extracorporeal support system with the use of a simulation environment

机译:使用仿真环境设计模糊控制器的模糊控制器,用于仿真环境的体外支持系统的自动化

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The automation of a portable extracorporeal support system may greatly help people who suffer from cardiogenic shock by providing them with an optimal oxygen perfusion and avoid mult-organ failure while being transported to a hospital. This however requires the creation of tools that help in the design of the ideal controller. In this paper a simulation environment is described were a cardiovascular model from the ISR Physiome database was used together with a model of a portable extracorporeal support system. Additionally a model of an oxygenator/blender model is introduced to allow the simulation of oxygen perfusion. Fuzzy controlling was used for automation since it allows a straightforward implementation of expert knowledge. Through the simulation environment different scenarios may be created where intensive testing is possible and constant repetition for control optimization. Initial simulation results are given of the fuzzy controller adjusting the extracorporeal flow rate and oxygen administration for a case of low cardiac output.
机译:便携式体外支持系统的自动化可以极大地帮助患有心源性冲击的人,通过提供最佳的氧灌注,并在被运送到医院时避免多器官失败。然而,这需要创建有助于设计理想控制器的工具。在本文中,描述了仿真环境是来自ISR物理数据库的心血管模型与便携式体外支持系统的模型一起使用。另外,引入了氧化器/搅拌器模型的模型以允许氧灌注的模拟。模糊控制用于自动化,因为它允许直接实现专家知识。通过模拟环境,可以创建不同场景,其中密集测试是可能的并且不断重复控制优化。给出了初始仿真结果,用于调节低心输出的体外流量和氧管给药的模糊控制器。

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