Integrated Vehicle Health Management System: Matlab Simulink

Abstract

This paper presents an Integrated Vehicle Health Management (IVHM) framework leveraging strategic sensor placement for real-time monitoring of critical parameters such as temperature, pressure, and voltage inside launch vehicles. The system compares continuously collected sensor data against preset limits established by the developers. Upon detecting deviations beyond these limits, the framework initiates alerts or corrective actions to mitigate potential issues. Initially, a MATLAB Simulink model was developed, which will later develop into a real-time monitoring system using Peripheral Interface Controller (PIC) or FPGA. Launch vehicles may collapse due to environmental changes including temperature, pressure, and other climatic variations, causing noise, pollution, and financial crises. Personal health is of utmost importance in missions like Gaganyaan - Human in space. In such cases, the abortion of a mission is of high importance for the protection of human life. The IVHM system promotes launch vehicle reuse and protection of life in human space missions, thus enhancing space sustainability. Less waste and material use, less energy use, less noise, more biodiversity, and, of course, lower emissions of CO2 and other harmful pollutants are just a few of the immediate advantages. The quality of life, safety, labor efficiency, and the use and consumption of materials are examples of indirect benefits of the IVHM system. The historical data used to refine the predetermined limits consider factors like normal parameter ranges, vehicle model specifics, environmental conditions, and driving patterns. This research contributes to the advancement of IVHM strategies and their practical implementation for vehicular health monitoring.