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

09/09/2022
by   Haotian Gu, et al.
0

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.

READ FULL TEXT
research
10/18/2021

How Far Two UAVs Should Be subject to Communication Uncertainties

Unmanned aerial vehicles are now becoming increasingly accessible to ama...
research
05/26/2019

Online Deep Learning for Improved Trajectory Tracking of Unmanned Aerial Vehicles Using Expert Knowledge

This work presents an online learning-based control method for improved ...
research
07/14/2021

Robust and Recursively Feasible Real-Time Trajectory Planning in Unknown Environments

Motion planners for mobile robots in unknown environments face the chall...
research
05/16/2020

Reachability as a Unifying Framework for Computing Helicopter Safe Operating Conditions and Autonomous Emergency Landing

We present a numeric method to compute the safe operating flight conditi...
research
02/01/2021

Stochastic High Fidelity Simulation and Scenarios for Testing of Fixed Wing Autonomous GNSS-Denied Navigation Algorithms

Autonomous unmanned aerial vehicle (UAV) inertial navigation exhibits an...
research
06/17/2020

PIDA: Smooth and Stable Flight Using Stochastic Dual Simplex Algorithm and Genetic Filter

This paper presents a new Proportional-Integral-Derivative-Accelerated (...
research
03/08/2019

Localizing an Unknown Number of mmW Transmitters Under Path Loss Model Uncertainties

This work estimates the position and the transmit power of multiple co-c...

Please sign up or login with your details

Forgot password? Click here to reset