In the context of Solar System exploration, autonomous planetary surface missions represent, nowadays, an important step in scientific research. Nevertheless, the design of landing Guidance, Navigation and Control sub-systems is one of the most challenging and complex tasks. Indeed, during the propelled landing phase, the system must be controlled in closed-loop, ensuring the stability of the lander motion with a certain level of robustness. This paper proposes a novel procedure for the verification of the lander nominal and robust stability. The first step is to perform a model simplification, in order to reduce the involved degrees of freedom and allow a decoupled analysis of the rotational and translational dynamics. Then, the classical stability theorems are applied, taking also into account the uncertainties due to actuators and sensors. Next, a robustness stability verification is performed by means of μ-Analysis. Finally, a Monte Carlo campaign is carried out, using an End-to-End simulator in order to verify, in the time domain, the reliability of the analytical stability analysis. The procedure is applied to a case study representing a descent module during the controlled landing phase on the Mars surface.
GNC Robustness Stability Verification for an Autonomous Lander
2020-01-01
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Landing , Control , Stability , Robustne , Monte Carlo , μ-Analysis
DDC: | 629 |
Planning-based Autonomous Lander Control
British Library Conference Proceedings | 2012
|Planning-based Autonomous Lander Control
AIAA | 2012
|Toward a vision based autonomous planetary lander
AIAA | 1999
|Toward A Vision Based Autonomous Planetary Lander
British Library Conference Proceedings | 1999
|