作者: Dario Izzo , Nicolás Weiss , Tobias Seidl
DOI: 10.2514/1.52553
关键词:
摘要: Neuromorphic architectures to robust and adaptive navigation based on visual clues have been proposed as automated landing systems. In particular, constant-optic-flow descents studied in relation their bioinspired nature promise for a substantial hardware software simplification. The main body of work the topic considers Earth-based systems applications, such micro air vehicles, has only lately looked at planetary landings, but never mass optimality. this paper, are with respect optimality, first from theoretical point view using Pontryagin’s maximum principle then performing numerical investigation some selected cases (Apollo-like) anda comparison unconstrained descents. propellant introduced by forcing constant optic flow during lunar descent is estimated typical high-gate/low-gate conditions. effect constraining spacecraft pitch law also studied, showing that an optimal essential lower overall consumption linear or exponential laws may not be adequate. A guidance algorithm presented discussed use when regulated.