Improving Flow Control in Electro-pneumatic Lung Ventilators: PID versus Fuzzy Logic Control Systems. Partial Results

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Vydáno v:The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Conference Proceedings (2023)
Hlavní autor: Gonzalez, Lina
Další autoři: Griffith, Issa, Lescher, Alfredo, Molino, Jay, Quijano, Damian, Rojas, Asdrual
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The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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024 7 |a 10.1109/CONESCAPAN60431.2023.10328412  |2 doi 
035 |a 2895007326 
045 2 |b d20230101  |b d20231231 
084 |a 228229  |2 nlm 
100 1 |a Gonzalez, Lina  |u Universidad Especializada de las Américas,Facultad de Biociencias y Salud Pública,Panamá City,República de Panamá 
245 1 |a Improving Flow Control in Electro-pneumatic Lung Ventilators: PID versus Fuzzy Logic Control Systems. Partial Results 
260 |b The Institute of Electrical and Electronics Engineers, Inc. (IEEE)  |c 2023 
513 |a Conference Proceedings 
520 3 |a Conference Title: 2023 IEEE Central America and Panama Student Conference (CONESCAPAN)Conference Start Date: 2023, Sept. 26 Conference End Date: 2023, Sept. 29 Conference Location: Guatemala, GuatemalaThis study aims to evaluate the implementation of artificial intelligence, specifically fuzzy logic, in the flow control system of a mechanical pulmonary ventilator. The research focuses on comparing the performance of the fuzzy logic control system with the conventional PED control system. A test bench was constructed to test and analyze the control algorithms on an electro-pneumatic ventilator, with the PID control algorithm initially applied and the parameters of a test lung adjusted under various conditions. The results demonstrated that the PID controller algorithm is effective and precise within the target flow range set by the user. However, it is anticipated that the fuzzy logic algorithm will significantly enhance these results due to its sensitivity to small changes, reliability, and improved accuracy. This research contributes to the understanding and improvement of flow control systems in electro-pneumatic lung ventilators, paving the way for enhanced patient care and treatment outcomes. 
653 |a Proportional integral derivative 
653 |a Ventilators 
653 |a Control theory 
653 |a Control algorithms 
653 |a Control systems 
653 |a Lungs 
653 |a Fuzzy logic 
653 |a Fuzzy systems 
653 |a Fuzzy control 
653 |a Artificial intelligence 
653 |a Algorithms 
653 |a Flow control 
653 |a Environmental 
700 1 |a Griffith, Issa  |u Universidad Especializada de las Américas,Facultad de Biociencias y Salud Pública,Panamá City,República de Panamá 
700 1 |a Lescher, Alfredo  |u Universidad Especializada de las Américas,Facultad de Biociencias y Salud Pública,Panamá City,República de Panamá 
700 1 |a Molino, Jay  |u Universidad Especializada de las Américas,Centro de Biotecnología, Energías Verdes y Cambio Climático,Panamá City,República de Panamá 
700 1 |a Quijano, Damian  |u Universidad Especializada de las Américas,Facultad de Biociencias y Salud Pública,Panamá City,República de Panamá 
700 1 |a Rojas, Asdrual  |u Universidad Especializada de las Américas,Facultad de Biociencias y Salud Pública,Panamá City,República de Panamá 
773 0 |t The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Conference Proceedings  |g (2023) 
786 0 |d ProQuest  |t Science Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/2895007326/abstract/embedded/L8HZQI7Z43R0LA5T?source=fedsrch