NDLI: Achieving affordability through fuzzy reasoning and control

Content Provider	IEEE Xplore Digital Library
Author	Jaw, L.C. Wu, D.N.
Copyright Year	2000
Description	Author affiliation: Sci. Monitoring Inc., Tempe, AZ, USA (Jaw, L.C.)
Abstract	One way to make a system more affordable is to reduce the number of redundant components. Reducing components while still maintaining a desired level of reliability requires that the functionality of the eliminated, redundant hardware be replaced with a lower-cost option. In this paper, we present a methodology that offers such an option on an aeropropulsion engine. This option is a low-cost secondary control unit with an intelligent logic that can be implemented as a part of the engine health monitoring unit. The low-cost, secondary control unit acts like a back-up control, when the primary control unit becomes faulty. The back-up unit relies on the models and logic stored in the monitoring unit to provide a reduced-envelope capability for the flight vehicle. The basis for the logic is fuzzy reasoning. The reasoning is initiated by observing the behavior of the engine before a fault is developed.
Starting Page	203
Ending Page	209
File Size	502005
Page Count	7
File Format	PDF
ISBN	0780358465
ISSN	1095323X
DOI	10.1109/AERO.2000.877896
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2000-03-25
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuzzy reasoning Engines Control systems Costs Monitoring Turbines Fuzzy logic Actuators Hardware Artificial neural networks
Content Type	Text
Resource Type	Article
Subject	Aerospace Engineering Space and Planetary Science

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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