Multiobjective insensitive design of airplane control systems with uncertain parametersA multiobjective computer-aided design algorithm has been developed which minimizes the sensitivity of the design objectives to uncertainties in system parameters. The more important uncertain parameters are described by a gaussian random vector with known covariance matrix, and a vector sensitivity objective function is defined as the probabilities that the design objectives will violate specified requirements constraints. Control system parameters are found which minimize the sensitivity vector in a Pareto-optimal sense, using constrained minimization algorithms. Example results are shown for lateral stability augmentation system (SAS) design for three Shuttle flight conditions.
Document ID
19810059704
Acquisition Source
Legacy CDMS
Document Type
Conference Proceedings
Authors
Schy, A. A. (NASA Langley Research Center Hampton, VA, United States)
Giesy, D. P. (Kentron International, Inc. Hampton, VA, United States)