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Use of Soft Computing Technologies For Rocket Engine ControlThe problem to be addressed in this paper is to explore how the use of Soft Computing Technologies (SCT) could be employed to further improve overall engine system reliability and performance. Specifically, this will be presented by enhancing rocket engine control and engine health management (EHM) using SCT coupled with conventional control technologies, and sound software engineering practices used in Marshall s Flight Software Group. The principle goals are to improve software management, software development time and maintenance, processor execution, fault tolerance and mitigation, and nonlinear control in power level transitions. The intent is not to discuss any shortcomings of existing engine control and EHM methodologies, but to provide alternative design choices for control, EHM, implementation, performance, and sustaining engineering. The approaches outlined in this paper will require knowledge in the fields of rocket engine propulsion, software engineering for embedded systems, and soft computing technologies (i.e., neural networks, fuzzy logic, and Bayesian belief networks), much of which is presented in this paper. The first targeted demonstration rocket engine platform is the MC-1 (formerly FASTRAC Engine) which is simulated with hardware and software in the Marshall Avionics & Software Testbed laboratory that
Document ID
20030111895
Document Type
Conference Paper
Authors
Trevino, Luis C. (NASA Marshall Space Flight Center Huntsville, AL, United States)
Olcmen, Semih (Alabama Univ. Tuscaloosa, AL, United States)
Polites, Michael (Alabama Univ. Tuscaloosa, AL, United States)
Date Acquired
August 21, 2013
Publication Date
January 1, 2003
Subject Category
Aircraft Stability and Control
Meeting Information
22nd Digital Avionics Systems Conference(Indianapolis, IN)
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.