Artificial Intelligence Trade-Space Model for a System Incorporating Reliability, Cost and Maintainability- Case Study of Satellite Anomalies
Abstract
Earth’s orbits are progressively congested. The reason being is that more than 900,000 matters bigger than 1cm, which comprising some natural for example asteroids (which cannot be controlled), man-made satellites, the used rocket bodies and other debris have crowded the earth’s orbits. The progressive number of satellites are launched more in the space because more countries have involved actively in space. Hence, the associated debris are generated by the satellite launch and operation which can disrupt the usual operation of satellites. One of the prominent problems that occurred in 2021, where the Chinese Long March 5B rocket made an uncontrolled re-entry which triggered a panic mode among the satellite operators. Because of this anomaly, the cost to repair and maintain the rocket had skyrocketed and caused a big loss to the space industry. Thus, it is crucial to find out what is the cause of this failed launch space vehicle and how to address the issue accordingly. Consequently, this is when the tradespace exploration (TSE) for a system comes in. TSE is a method where there are possible solutions involved and the most suitable solution is picked based on different trade-offs between various design variables in which involves with the reliability, cost, and maintainability with a gist of Artificial Intelligence (AI). AI is necessary in this context because thousands of spacecraft data from Seradata will be utilized. AI model will be developed to process the data according to its reliability and cost data. Furthermore, AI model will predict the anomaly of the trade-space exploration of satellite systems. Subsequently, in a system design, the TSE methods which include processes and tools are used to deliver resiliency and robustness to changing conditions and constraints. In this research, the case study of failed launch vehicles and spacecraft will be explored further using the Seradata database system. Finally, reliability and cost models will be proposed by using AI in MATLAB software. The significant contribution of this research in the field of space situational awareness is that it helps to rebuild a sustainable space where the number of failed launch spacecrafts can be reduced, and the cost will be minimized. Moreover, the proposed maintenance guidelines will help to maintain the satellite periodically.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Feb 16, 2024
- Source ID
- FA23862314073
Entities
People
- Nadirah Abdul Rahim
Organizations
- Air Force Office of Scientific Research
- International Islamic University Malaysia
- United States Air Force