Space and Applications of Artificial Intelligence

Abstract

The probabilities to have a look at and have interaction with any given spacecraft are intrinsically restricted as compared to ground-based technology because of more than a few of factors. Crew availability, communication lag times, and power budgets are just a few of these. They also take into account the reachability and bandwidth of their ground connection. Every spacecraft must have some amount of autonomy, but research and previous missions have shown that by incorporating more sophisticated autonomous processes, many missions can be much more effective based on consistency, the production of knowledge, and the amount of work required to operate is a method that is becoming more and more popular for obtaining on-board autonomy. However, the variety of artificial intelligence methods and versions that are now written about in the literature is equally as wide-ranging as their prospective fields of application. This paper provides a thorough analysis of the state-of-the-art methods and algorithms for Fault Detection Isolation and Recovery (FDIR) and anomaly detection, and it provides examples of current ground- and space-based applications.