Multi-level Adaptation for Automatic Landing with Engine Failure under Turbulent Weather

TL;DR

This paper introduces a multi-level adaptive framework enabling UAVs to perform automatic emergency landings under engine failure and turbulent weather, combining rapid feasibility evaluation and robust trajectory tracking.

Contribution

It presents a novel multi-level adaptive safety control framework that enhances UAV emergency landing capabilities under large uncertainties with efficient planning and control.

Findings

Framework is robust to weather uncertainties

Enables real-time feasibility evaluation and trajectory planning

Validated in high-fidelity simulation environment

Abstract

This paper addresses efficient feasibility evaluation of possible emergency landing sites, online navigation, and path following for automatic landing under engine-out failure subject to turbulent weather. The proposed Multi-level Adaptive Safety Control framework enables unmanned aerial vehicles (UAVs) under large uncertainties to perform safety maneuvers traditionally reserved for human pilots with sufficient experience. In this framework, a simplified flight model is first used for time-efficient feasibility evaluation of a set of landing sites and trajectory generation. Then, an online path following controller is employed to track the selected landing trajectory. We used a high-fidelity simulation environment for a fixed-wing aircraft to test and validate the proposed approach under various weather uncertainties. For the case of emergency landing due to engine failure under severe weather conditions, the simulation results show that the proposed automatic landing framework is robust to uncertainties and adaptable at different landing stages while being computationally inexpensive for planning and tracking tasks.