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Pareto-optimal multi-objective design of airplane control systemsA constrained minimization algorithm for the computer aided design of airplane control systems to meet many requirements over a set of flight conditions is generalized using the concept of Pareto-optimization. The new algorithm yields solutions on the boundary of the achievable domain in objective space in a single run, whereas the older method required a sequence of runs to approximate such a limiting solution. However, Pareto-optimality does not guarantee a satisfactory design, since such solutions may emphasize some objectives at the expense of others. The designer must still interact with the program to obtain a well-balanced set of objectives. Using the example of a fighter lateral stability augmentation system (SAS) design over five flight conditions, several effective techniques are developed for obtaining well-balanced Pareto-optimal solutions. For comparison, one of these techniques is also used in a recently developed algorithm of Kreisselmeier and Steinhauser, which replaces the hard constraints with soft constraints, using a special penalty function. It is shown that comparable results can be obtained.
Document ID
Document Type
Conference Proceedings
Schy, A. A.
(NASA Langley Research Center Hampton, VA, United States)
Johnson, K. G.
(NASA Langley Research Center Hampton, VA, United States)
Giesy, D. P.
(Kentron International, Inc. Hampton, VA, United States)
Date Acquired
August 11, 2013
Publication Date
January 1, 1980
Subject Category
Aircraft Stability And Control
Meeting Information
Joint Automatic Control Conference(San Francisco, CA)
Accession Number
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