Print Email Facebook Twitter Real Time Adaptive Feedforward Guidance for Entry Vehicles Title Real Time Adaptive Feedforward Guidance for Entry Vehicles Author Sagliano, M. Oehlschlagel, T. Theil, S. Mooij, E. Faculty Aerospace Engineering Department Space Engineering Date 2015-04-13 Abstract One of the most powerful analysis tools to deal with entry guidance problems is the possibility to formulate them as optimal control problems (OCPs). Environmental constraints, actuator limits, and strict requirements on the final conditions can be efficiently transcribed, resulting in a discrete, finite-dimension nonlinear programmming (NLP) problem. However, NLP problems require a computational power, which often exceeds the vehicle’s onboard capabilities. Moreover, it is important to ensure that the nominal optimal solution can be adapted to the actual flight conditions, which can significantly differ from the nominal scenario. This paper proposes an approach based on multivariate interpolation to generate entry guidance solutions. The real-time capability is ensured in virtue of the lower CPU efforts required to execute the interpolation operation. The approach is here proposed for initial-conditions variations, but can in principle be applied to every mission parameter, which allows to find a corresponding optimal solution. Results have been generated for SHEFEX-3, an entry demonstrator vehicle scheduled to be launched in 2016. To reference this document use: http://resolver.tudelft.nl/uuid:36b81e27-ac4f-43a1-8d9d-ec7dba730b63 Source Proceedings of the 3rd CEAS EuroGNC: Specialist Conference on Guidance, Navigation and Control, Toulouse, France, 13-15 April 2015 Part of collection Institutional Repository Document type conference paper Rights (c) 2015 The Author(s) Files PDF 321185.pdf 1.66 MB Close viewer /islandora/object/uuid:36b81e27-ac4f-43a1-8d9d-ec7dba730b63/datastream/OBJ/view