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Optimization issues with complex rotorcraft comprehensive analysis
Author(s) -
Joanne L. Walsh,
Katherine C. Young,
Frank Tarzanin,
Joel Hirsch,
Darrell K. Young
Publication year - 1998
Publication title -
7th aiaa/usaf/nasa/issmo symposium on multidisciplinary analysis and optimization
Language(s) - English
Resource type - Conference proceedings
DOI - 10.2514/6.1998-4889
Subject(s) - computer science , systems engineering , aeronautics , engineering
This paper investigates the use of the general purpose automatic differentiation (AD) tool called Automatic Differentiation of FORTRAN (ADIFOR) as a means of generating sensitivity derivatives for use in Boeing Helicopter''s proprietary comprehensive rotor analysis code (VII). ADIFOR transforms an existing computer program into a new program that performs a sensitivity analysis in addition to the original analysis. In this study both the pros (exact derivatives, no step-size problems) and cons (more CPU, more memory) of ADIFOR are discussed. This size (based on the number of lines) of the V11 code after ADIFOR processing increased by 70 percent and resulted in substantial computer memory requirements at execution. The ADIFOR derivatives took about 75 percent longer to compute than the finite-difference derivatives. However, the ADIFOR derivatives are exact and are not functions of step-size. The V11 sensitivity derivatives generated by ADIFOR are compared with finite-difference derivatives. The ADIFOR and finite-difference derivatives are used in three optimization schemes to solve a low vibration rotor design problem.

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