DocumentCode :
2273718
Title :
Performance analysis using a fuzzy rule base representation of the Cooper-Harper rating
Author :
Tseng, Chris ; Gupta, Puneet ; Schumann, Jorg
Author_Institution :
Dept. of Comput. Sci., San Jose State Univ., CA
fYear :
0
fDate :
0-0 0
Abstract :
The Cooper-Harper rating of aircraft handling qualities has been adopted as a standard for measuring the performance of aircraft since it was introduced in 1966. Aircraft performance, the ability to control the aircraft, and the degree of necessary pilot compensation are three major key factors for deciding the aircraft handling qualities in the Cooper-Harper rating scheme. We formulate the Cooper-Harper rating scheme as a fuzzy rule-based system and use it to analyze the performance of the aircraft controller. The automatic estimation of the current system-level handling quality provides valuable up-to-date information for diagnostics and vehicle health management
Keywords :
aerospace engineering; aircraft control; aircraft maintenance; knowledge based systems; Cooper-Harper rating; aircraft controller; aircraft diagnostics; aircraft handling qualities; automatic estimation; fuzzy rule base representation; vehicle health management; Aerospace control; Aircraft; Automatic control; Control systems; Fuzzy control; Fuzzy systems; Knowledge based systems; Measurement standards; Performance analysis; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Aerospace Conference, 2006 IEEE
Conference_Location :
Big Sky, MT
Print_ISBN :
0-7803-9545-X
Type :
conf
DOI :
10.1109/AERO.2006.1656112
Filename :
1656112
Link To Document :
بازگشت