Autonomous sense & avoid capabilities based on aircraft performances estimation

Author:

Melega Marco1,Lazarus Samuel1,Lone Mudassir1,Savvaris Al1

Affiliation:

1. Department of Engineering Physics, School of Engineering, Cranfield University, UK

Abstract

An autonomous navigation system integrating both the path following and the autonomous sense & avoid functions is presented in this article. The sense & avoid algorithm was developed to provide an avoidance manoeuvre that ensures a minimum separation between the ownship and all other agents during its execution in a multiple flying threats scenario. The resolution manoeuvre is defined as step variations in the heading angle and altitude autopilots commands. The commands are optimised in order to get the smallest step command necessary to keep a minimum predefined separation between the ownship and the threats. Its computation is based on the estimation of the future trajectory of all the agents and, therefore, on the estimation of aircraft performance during the manoeuvre. The suggested resolution manoeuvre is updated at 1 Hz in order to take into account any unpredictable changes of the threat trajectories. The obtained heading and altitude change commands are displayed on a novel human–machine interface to support the pilot in the planning of the avoidance action. The proposed sense & avoid system is modelled in a Matlab/Simulink® environment for a Piper J3 Cub 40 model aircraft. The threats considered are aircrafts that communicate their states to the system through their Automatic Dependent Surveillance-Broadcast mode S transponders.

Publisher

SAGE Publications

Subject

Mechanical Engineering,Aerospace Engineering

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Study on flight safety manipulation space under complex conditions;Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering;2018-08-20

2. Distributed reactive collision avoidance for a swarm of quadrotors;Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering;2016-05-18

3. Radar/electro-optical data fusion for non-cooperative UAS sense and avoid;Aerospace Science and Technology;2015-10

4. Multiple Threats Sense and Avoid Algorithm for Static and Dynamic Obstacles;Journal of Intelligent & Robotic Systems;2014-07-08

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