Modeling and control of an invasive mechanical ventilation system using the active disturbances rejection control structure
| Autor: | David I. Rosas Almeida, Armando Cantú Cárdenas, Iván Olaf Hernández Fuentes, Rosa Citlalli Anguiano Cota, Laura Ocotlán Orea León, David Rafael Cañez Martínez, Angélica María Martínez Contreras |
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| Rok vydání: | 2022 |
| Předmět: |
Ventilators
Mechanical Critical Care Applied Mathematics Robust control COVID-19 Mechanical ventilator Models Theoretical Identification of disturbances Respiration Artificial Computer Science Applications Control and Systems Engineering Humans Electrical and Electronic Engineering Instrumentation Research Article |
| Zdroj: | ISA Transactions |
| ISSN: | 0019-0578 |
| DOI: | 10.1016/j.isatra.2021.12.021 |
| Popis: | We propose a mandatory invasive mechanical ventilator prototype for severe COVID-19 patients with volume and pressure control operation modes. This system comprises basic pneumatic elements and sensors. Its performance is similar to commercial equipment, and it presents robustness to external disturbances and parametric uncertainties. To develop a control strategy, we propose a mathematical model with a variable structure that incorporates the dead zone phenomenon of the proportional valve, and considers external disturbances and parametric uncertainties. Based on this model, we propose a global control strategy that is based on pressure and flow regulation controllers, which use the active disturbances rejection control structure (ADRC). In this strategy, we propose robust state observers to estimate disturbances and the signals necessary for implementing the controllers. We illustrate the performance of the prototype and the control strategy through numerical simulations and experiments. We also compare its performance with PID controllers. These results corroborate its effectiveness and the possibility of its application in invasive mechanical ventilators with a simple structure, which can significantly help critical care of COVID-19 inpatients. |
| Databáze: | OpenAIRE |
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