Kisméretű UAV modell prediktív alapú irányítása

Róbert Szabolcsi
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引用次数: 0

Abstract

Recently there are many new UAV applications changing the attitude of the common drone users. There is a drone taxi concept about the tourists’ sightseeing activity in urban and habited area, or, a flying motorcycle concept planning to deliver to the police or to the firefighters to enhance their transport capabilities. There is a common trend, and the requirement at the same time, to improve flying capabilities of the UAVs (like flight time, or flight range). The newest UAV applications predict more busy airspace requiring collision avoidance capability of the UAVs both in UAV vs UAV, and in UAV vs non-UAV relationship. The purpose of the author is to prove that model predictive control (MPC) concept may serve very effectively if there is a task to track a pre-defined flight path of the UAV.
小型无人飞行器模型的预测控制
最近有许多新的无人机应用改变了普通无人机用户的态度。有一个关于游客在城市和居民区观光活动的无人机出租车概念,或者一个飞行摩托车概念,计划交付给警察或消防员,以提高他们的运输能力。提高无人机的飞行能力(如飞行时间或飞行距离)是一个共同的趋势,同时也是一种要求。最新的无人机应用预测了更繁忙的空域,无论是在无人机与无人机之间,还是在无人机与非无人机的关系中,都需要无人机的防撞能力。作者的目的是证明模型预测控制(MPC)的概念可以非常有效地服务,如果有一个任务跟踪预定义的飞行路径的无人机。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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