A ventilator is a device that provides cool air by moving the air in or out of the lungs, inhaling a patient who is not fit to smell, or breathing properly. In this paper, a resistive chest belt sensor-based mechanical ventilator is designed to provide the COVID-19 patient with the volume of air you need to deliver with the expansion of the patient's chest in need of more air. The resistive band sensor senses the expansion of the patient's chest and controls the solenoid valve attached to the oxygen compressor. The function of the respirator is tested with the MATLAB/Simulink tool with the help of a Proportional Integral Derivative (PID) Controller and a promising result obtained.
Table of Contents
1. Introduction
2. Mathematical Modelling
2.1 How is it work
2.2 Resistive Sensor Chest Belt
2.3 Resistive Belt Modeling
2.4 Modeling of the Solenoid Valve
2.5 Tidal Volume (TV)
2.6 Ventilator Air Duct Design
3. Proposed Controller Design
3.1 PID Controller
4. Result and Discussion
4.1 System Parameters
4.2 Simulink Block Diagram
4.3 4.3 Simulation of the Actual Belt Resistance to Reference Resistance with Patient Normal Breathing
4.4 Simulation of the Actual Belt Resistance to Reference Resistance with Patient Sudden Air Volume Inhale
5. Conclusion
6. References
Research Objectives and Topics
This study aims to design a mechanical ventilator system specifically for COVID-19 patients, utilizing a resistive chest belt sensor to accurately monitor breathing patterns and control airflow through a PID-regulated solenoid valve.
- Development of a resistive sensor-based mechanism for chest expansion detection.
- Mathematical modeling of system components including the solenoid valve and tidal volume.
- Implementation of a PID controller to regulate oxygen delivery.
- Performance testing and simulation using MATLAB/Simulink under normal and sudden inhalation conditions.
Excerpt from the Book
1. Introduction
Ventilators are machines controlled by a modern microchip; however, patients can also be ventilated with a basic, hand-operated packet cover [1]. Ventilators are widely used in orthopedic, home-based medicine, and critical medicine (as independent units), and anesthesiology (as part of a lubricant) [2-3].
Ventilators are now called "breathing apparatus", a term often used for them in the 1950s (especially "bird's respirator"). However, modern emergency medicine and clinical printing use a "breathing machine" to refer to a protective face mask [4 - 5].
In its simplest design, a well-ventilated ventilator includes a ventilator, air and oxygen equipment, several valves and tubes, and a usable or easy-to-use "patient" [6]. The air intake is ventilated several times per minute to move the air in the room, or size, a combination of air/oxygen to the patient. If a turbine is used, the compressor pushes air through a ventilator, with a flow valve change strain to meet the patient's clear limits. When excessive pressure is transmitted to the patient, the patient will breathe inactively due to fluctuations in the lungs, the inhaled air is usually transmitted through a single directional valve within the patient circuit called the patient complex.
Ventilators can also be provided with patient monitoring and awareness parameters related to patients (e.g., compression factor, volume, and distribution) and air function (e.g. airflow, power failure, mechanical shock), stabilizing batteries, oxygen tanks, and controller. The pneumatic framework is these days is regularly inserted by a PC-controlled turbopump [7].
Summary of Chapters
1. Introduction: Provides an overview of ventilator technology, historical terminology, and the basic requirements for patient-safe mechanical ventilation.
2. Mathematical Modelling: Describes the operational principles of the resistive chest belt, the modeling of solenoid valves, and the calculations for tidal volume.
3. Proposed Controller Design: Details the integration and function of the PID controller within the ventilator system to ensure stable operation.
4. Result and Discussion: Presents the system parameters and provides the simulation results for normal breathing and sudden inhalation scenarios using Simulink.
5. Conclusion: Summarizes the design achievements and suggests potential improvements for future controller iterations.
6. References: Lists the academic sources and technical literature cited throughout the study.
Keywords
Ventilator, Resistive, Proportional Integral Derivative, PID, COVID-19, Mechanical Ventilation, Solenoid Valve, Chest Belt Sensor, MATLAB, Simulink, Airflow Control, Tidal Volume, Respiratory Support, Biomedical Engineering, Simulation.
Frequently Asked Questions
What is the primary focus of this paper?
The paper focuses on the design and simulation of a mechanical ventilator for COVID-19 patients using a resistive belt sensor to detect chest expansion.
What are the core technical fields involved in this research?
The research combines biomedical engineering, control theory (PID), and mechanical system design to automate oxygen delivery.
What is the main goal of the proposed ventilator design?
The goal is to provide a responsive system that automatically adjusts oxygen volume based on the specific inhalation needs of the patient.
Which methodology is employed to test the design?
The author uses MATLAB/Simulink software to model the system dynamics and test the controller performance under various breathing conditions.
What does the main body of the paper cover?
The main body covers the mathematical modeling of the resistive belt and solenoid valve, the implementation of the PID controller, and the analysis of simulation data.
Which keywords best describe this study?
Key terms include Ventilator, Resistive Sensor, PID Controller, COVID-19, MATLAB/Simulink, and Tidal Volume.
How does the resistive belt sensor work?
The belt changes its resistance as it expands with the patient's chest during inhalation, which serves as an input signal to trigger the solenoid valve.
What is the purpose of the PID controller in this setup?
The PID controller ensures that the actual oxygen delivery remains as close as possible to the target setpoint, providing stable and accurate airflow.
What were the results of the simulation for sudden air volume inhalation?
The simulation showed that the system successfully detected the increased demand and adjusted the solenoid valve to provide 800 ml of oxygen.
- Arbeit zitieren
- Mustefa Jibril (Autor:in), 2021, Mechanical Ventilator Design for COVID-19 Patients with a Resistive Belt Sensor, München, GRIN Verlag, https://www.grin.com/document/1127990
