RODSOCSep 25, 2018

Path Planning and Controlled Crash Landing of a Quadcopter in case of a Rotor Failure

arXiv:1809.09334v13 citations
Originality Incremental advance
AI Analysis

This addresses safety concerns for drone operations in populated or sensitive areas by providing a method for crash landing without causing harm, though it is incremental as it builds on existing control and planning techniques.

The paper tackles the problem of enabling a quadcopter to perform a controlled emergency landing after a rotor failure by developing a framework that includes a mathematical model, control strategy, and optimal trajectory planning using RRT* to avoid obstacles and minimize power consumption, with performance validated through simulations.

This paper presents a framework for controlled emergency landing of a quadcopter, experiencing a rotor failure, away from sensitive areas. A complete mathematical model capturing the dynamics of the system is presented that takes the asymmetrical aerodynamic load on the propellers into account. An equilibrium state of the system is calculated around which a linear time-invariant control strategy is developed to stabilize the system. By utilizing the proposed model, a specific configuration for a quadcopter is introduced that leads to the minimum power consumption during a yaw-rate-resolved hovering after a rotor failure. Furthermore, given a 3D representation of the environment, an optimal flight trajectory towards a safe crash landing spot, while avoiding collision with obstacles, is developed using an RRT* approach. The cost function for determining the best landing spot consists of: (i) finding the safest landing spot with the largest clearance from the obstacles; and (ii) finding the most energy-efficient trajectory towards the landing spot. The performance of the proposed framework is tested via simulations.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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