Unmanned aerial vehicles capable of hazardous terrain landing are desirable for intelligence collection. A crucial point is the landing gear's autonomous adaptation to the rough surface, which is especially difficult in an unknown and constrained environment. To enable this capability, this paper proposes a novel biomimetic system that ascertains terrain appearances like large obstacles and precipitous slope using a monocular camera and adjusts the mechatronics landing structure according to the terrain. A dynamic model including the ground effect is provided and a time-to-contact theory-based backstepping nonlinear controller is designed to reject uncertainty disturbances as well as implement a bio-inspired guidance strategy for soft landing in hazardous terrain. The mechatronic architecture and cascade control structure using custom-built unmanned air vehicle platform are presented. Experimental results and video footage demonstrate this biomimetic approach efficiently controls a vehicle successfully landing in an unknown and unstructured constrained environment.
No takes yet. Share an insight, caveat, or question.
Luo et al. (2015) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: