A Physics-Based Safety Recovery Approach for Fault-Resilient Multi-Quadcopter Coordination
Hamid Emadi, Harshvardhan Uppaluru, and Hossein Rastgoftar

TL;DR
This paper introduces a physics-based, multi-layer control strategy for fault-resilient quadcopter coordination, enabling safe recovery from failures through high-level trajectory planning and low-level control, validated by simulations.
Contribution
It presents a novel physics-inspired guidance and control framework for fault recovery in multi-quadcopter systems, combining fluid dynamics concepts with bounded control design.
Findings
Effective recovery trajectories are generated that respect rotor speed limits.
The control approach maintains safety constraints during fault recovery.
Simulations demonstrate the method's robustness and efficiency.
Abstract
This paper develops a novel physics-based approach for fault-resilient multi-quadcopter coordination in the presence of abrupt quadcopter failure. Our approach consists of two main layers: (i) high-level physics-based guidance to safely plan the desired recovery trajectory for every healthy quadcopter and (ii) low-level trajectory control design by choosing an admissible control for every healthy quadcopter to safely recover from the anomalous situation, arisen from quadcopter failure, as quickly as possible. For the high-level trajectory planning, first, we consider healthy quadcopters as particles of an irrotational fluid flow sliding along streamline paths wrapping failed quadcopters in the shared motion space. We then obtain the desired recovery trajectories by maximizing the sliding speeds along the streamline paths such that the rotor angular speeds of healthy quadcopters do not…
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Taxonomy
TopicsReinforcement Learning in Robotics · Distributed Control Multi-Agent Systems · Mathematical and Theoretical Epidemiology and Ecology Models
