Ascent guidance algorithm using lidar wind measurementsThe formulation of a general nonlinear programming guidance algorithm that incorporates wind measurements in the computation of ascent guidance steering commands is discussed. A nonlinear programming (NLP) algorithm that is designed to solve a very general problem has the potential to address the diversity demanded by future launch systems. Using B-splines for the command functional form allows the NLP algorithm to adjust the shape of the command profile to achieve optimal performance. The algorithm flexibility is demonstrated by simulation of ascent with dynamic loading constraints through a set of random wind profiles with and without wind sensing capability.
Document ID
19910045426
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Cramer, Evin J. (Boeing Co. Seattle, WA, United States)
Bradt, Jerre E. (Boeing Co. Seattle, WA, United States)
Hardtla, John W. (Boeing Co. Seattle, WA, United States)