2022
DOI: 10.1016/j.actaastro.2022.07.046
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Obstacle avoidance guidance for planetary landing using convex trajectory and adaptive curvature regulation

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Cited by 8 publications
(2 citation statements)
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“…Furthermore, other improvements have been investigated to extend the applicability of the method under different conditions, such as complex dynamics environments, or to add functions, such as hazard avoidance. In [25], convex optimization and curvature adjustment strategies were combined to ensure obstacle avoidance while reducing fuel To save as much fuel as possible during the powered descent phase, the linear tangent guidance law with suboptimal fuel characteristics was adopted for the Chang'e-3 probes. However, the linear tangent guidance law cannot control the flight distance; in fact, the allowable landing area of Chang'e-3 is a rectangle area, 356 km long and 91 km wide, in Sinus Iridum [11].…”
Section: Introductionmentioning
confidence: 99%
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“…Furthermore, other improvements have been investigated to extend the applicability of the method under different conditions, such as complex dynamics environments, or to add functions, such as hazard avoidance. In [25], convex optimization and curvature adjustment strategies were combined to ensure obstacle avoidance while reducing fuel To save as much fuel as possible during the powered descent phase, the linear tangent guidance law with suboptimal fuel characteristics was adopted for the Chang'e-3 probes. However, the linear tangent guidance law cannot control the flight distance; in fact, the allowable landing area of Chang'e-3 is a rectangle area, 356 km long and 91 km wide, in Sinus Iridum [11].…”
Section: Introductionmentioning
confidence: 99%
“…Furthermore, other improvements have been investigated to extend the applicability of the method under different conditions, such as complex dynamics environments, or to add functions, such as hazard avoidance. In [25], convex optimization and curvature adjustment strategies were combined to ensure obstacle avoidance while reducing fuel consumption. In [26], an approach to optimal trajectory design with uncertainty was considered.…”
Section: Introductionmentioning
confidence: 99%