Ascent Guidance Algorithm using Lidar Wind Measurements

This paper discusses the formulation of a general nonlinear programming guidance algorithm that incorporates wind measurements in the computation of ascent guidance steering commands. A nonlinear programming (NLP) algorithm that is designed to solve a very general problem has the potential to meet the capability required to address the diversity demanded by future launch system. 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.