Autonomous Modal Identification of the Space Shuttle Tail Rudder
Author(s) -
Richard S. Pappa,
George H. James,
D. C. Zimmerman
Publication year - 1998
Publication title -
journal of spacecraft and rockets
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.758
H-Index - 79
eISSN - 1533-6794
pISSN - 0022-4650
DOI - 10.2514/2.3324
Subject(s) - space shuttle , rudder , aerospace engineering , spacecraft , spacecraft design , space (punctuation) , missile , identification (biology) , modal , systems engineering , orbiter , computer science , engineering , aeronautics , chemistry , botany , polymer chemistry , biology , operating system
Autonomous modal identification automates the calculation of natural vibration frequencies, damping, and mode shapes of a structure from experimental data. This technology complements damage detection techniques that use continuous or periodic monitoring of vibration characteristics. The approach shown in the paper incorporates the Eigensystem Realization Algorithm (ERA)as a data analysis engine and an autonomous supervisor to condense multiple estimates of modal parameters using ERA''s Consistent-Mode Indicator and correlation of mode shapes. The procedure was applied to free-decay responses of a Space Shuttle tail rudder and successfully identified the seven modes of the structure below 250 Hz. The final modal parameters are a condensed set of results for 87 individual ERA cases requiring approximately five minutes of CPU time on a DEC alpha computer.
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