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) |
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The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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| Abstrakt: | 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. |
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| DOI: | 10.1109/CONESCAPAN60431.2023.10328412 |
| Zdroj: | Science Database |