AI Aerospace Components

National Conference on Artificial Intelligence, 1997

This paper describes preliminary results from using an AI robot control software architecture, known as 3T, as the software framework for a procedure tracking system for the space shuttle Remote Manipulator System (RMS). The system, called STPT, is designed to track the expected steps of the crew as they carry out RMS operations, detecting malfunctions in the RMS system from failures or improper configurations as well as improper or incomplete procedures by the crew. Scheduled for a ground demonstration in February 1997, and a test flight the following fall, STPT, was employed this past fall to track the RMS checkout procedures on a space shuttle mission. It successfully carried out its task because the reactive nature of the architecture allowed it to stay synchronized with the procedures even in the face of intermittent loss of telemetry and unexpected crew actions.

Engineering International, 2020

When writing about the history of the internet, it is important to note that aerospace was among the significant pioneers in computer networking computer network for private was used in first airline reservation system “SABRE” in 1960 for American airlines. While sage was the first computer system in the world, its deficiencies led to the development of ARPANET. These systems formed the foundations for the internet and the development of other computer programs in aerospace, any deficiency led to the invention of a new program, giving birth to programming, CAD, and CAM that brought about simulations. Aerospace computing has evolved over the years and is now carrying the whole weight of the aerospace industry. Before the launch of any space vehicle or satellite, simulation has become a necessary step, checking for weaknesses for corrections to be done on the ground. Besides, computer simulation has been essential in training, facilitating the training of pilots worldwide. This articl...

Springer eBooks, 2007

The ambitious short-term and long-term goals set down by the various national space agencies call for radical advances in several of the main space engineering areas, the design of intelligent space agents certainly being one of them. In recent years, this has led to an increasing interest in artificial intelligence by the entire aerospace community. However, in the current state of the art, several open issues and showstoppers can be identified. In this chapter, we review applications of artificial intelligence in the field of space engineering and space technology and identify open research questions and challenges. In particular, the following topics are identified and discussed: distributed artificial intelligence, enhanced situation self-awareness, and decision support for spacecraft system design.

Ai Magazine, 1997

The ambitious short-term and long-term goals set down by the various national space agencies call for radical advances in several of the main space engineering areas, the design of intelligent space agents certainly being one of them. In recent years, this has led to an increasing interest in artificial intelligence by the entire aerospace community. However, in the current state of the art, several open issues and showstoppers can be identified. In this chapter, we review applications of artificial intelligence in the field of space engineering and space technology and identify open research questions and challenges. In particular, the following topics are identified and discussed: distributed artificial intelligence, enhanced situation self-awareness, and decision support for spacecraft system design.

Acta Astronautica, 1992

This paper presents an artificial intelligence approach to integrated human-machine intelligence in space systems. It discusses the motivations for Intelligent Assistant Systems in both nominal and abnormal situations. The problem of constructing procedures is shown to be a very critical issue. In particular, keeping procedural experience in both design and operation is critical. We suggest what artificial intelligence can offer in this direction. Some crucial problems induced by this approach are discussed in detail. Finally, we analyze the various roles that would be shared by both astronauts, ground operators, and the intelligent assistant system.

IEEE Control Systems Magazine, 1985

There will be a permanently manned, fully operational space station by the mid-1990s. Automation of the station will increase space station autonomy and utilize the crew more effectively. Artificial intelligence technology (robotics, image perception, expert systems, and planning systems) will play an important role. This paper describes expert systems and indicates the use of these systems in space station automation. We first discuss the nature of expert systems, typical applications, and limitations. The role of expert systems in space station automation is then indicated, and the necessary research and development is described.

International Journal of Science, Engineering and Technology, 2024

Space exploration has advanced much further chief of all advancements made in rocketry. AI is important in the rocket’s launch and landing in that they are able to improve on the existing systems. This paper provides a critical discussion on the incorporation of AI technologies into these systems with reference to effectiveness, safety, and mission accomplishment. Algorithms become an efficient way to assist decisions in launch phases, to specify trajectories and to tweak auto-landing systems. Modern complex systems can be analyzed by means of machine learning and neural networks, resulting in improved prediction of system health and less maintenance failures. In addition, I believe that it is crucial that AI is used in controlling reusability of rockets so as to remove human factor and at the same time bring in efficiency. The audit shows that AI-powered algorithms have enhanced the launch accuracy up to 15% and minimized system failures up to 10%. AI based autonomous landing systems have reported a 20% improvement in the accuracy of landing thereby reducing lifecycle risks and improving the reusability of rocket stages. It has been marked that integration of AI for diagnosing problems results in 25% overall system reliability therefore the study supports the statement. It has also enhanced the optimization of fuel, which is critical for mission sustainability, through a 12% improvement on fuel efficacies.

iiis.org

The history of artificial intelligence control systems for use in space is discussed in this paper. The two fields started separately in the 1950s and first merged in the 1970s due to control requirements for a Jet Propulsion Laboratory project. While spacecraft have a special need for AI systems due to communications delays and other factors, much of AI control system development is conducted for earth-based applications. To mitigate risk factors, space-bound AI systems are also tested extensively via simulations. As a result, virtually all AI space control systems get their start on the ground. Additionally, ground support systems are required to facilitate communication with and command of AI controlled and other space craft. Numerous successful missions incorporating or controlled by AI technology have been launched. Further, many more are planned. Examples of ground, space-flown and future AI control missions are all discussed herein. While, spacecraft AI was born out of necessity (due to communication delays and such), it is now becoming desirable for other reasons such as cost savings and mission enhancement.

2020