Future exploration missions will take place in areas of high scientific interest, which often consist in inherently hazardous craterized and erosion-modeled landscapes. In such cases, an autonomous hazard avoidance function is manda- tory to perform a safe soft landing. It involves a decision-making model, respon- sible for choosing an appropriate landing site by taking into account various cri- teria: risks, slope, scientific interest, propellant needed, guidance constraints, Sun and Earth visibility etc. The fusion of all this information is a complex task in itself, but the whole architecture of the process that leads to a decision needs to be optimized as well so as to fit in a given on-board computer. This paper will present a dynamic and adaptable multicriteria decision algorithm that relies on non-exhaustive search methodologies to use only the relevant information, in- stead of evaluating the score of all sites which usually leads to an excessive computational burden. This new architecture will be compared to the classical methods. The performances of the whole decision model will be detailed in open and closed-loop simulations in the cases of Mars and Lunar landings.
|Title of host publication||Proceedings|
|Publication status||Published - 1 Jan 2010|
|Event||33rd Annual AAS Rocky Mountain Guidance and Control Conference - |
Duration: 1 Jan 2010 → …
|Conference||33rd Annual AAS Rocky Mountain Guidance and Control Conference|
|Period||1/01/10 → …|