Soft Computing in Aerospace

Abstract

This survey paper explores current and potential future uses of soft computing in aerospace applications. It starts with a brief introduction and definition of soft computing or computing for uncertainty. The main uses of soft computing are in control work. This paper discusses a few of the aerospace applications of soft computing which include Aircraft Sensor Management and Flight Control Law Reconfiguration, Multidisciplinary Aerospace Design, SR-30 Turbojet Applications and Aircraft Landing System Controller. Finally it will investigate other potential uses of soft computing technologies such as satellite data processing. Examples of literature being reviewed include “Fuzzy Logic, Neural Networks, and Soft Computing” by Lofti Zadeh (1994), Soft Computing Applications in Electrical Engineering by Devendra Chaturvedi (2008), Soft Computing and Intelligent Systems: Theory and Applications by Naresh Sinha, and Madan Gupta (2000) and “Soft Computing Applications in Aircraft Sensor Management and Flight Control Law Reconfiguration by Marcel Oosterom, Robert Babushka, and Henk B. Verbruggen (2002). In summary, soft computing methods can increase software quality and robustness in a wide area of aerospace and other technical applications, especially with advances in computational power.