Long term global path planning for stratospheric airships under time-sequential uncertainty wind fields

IF 2.8 3区 地球科学 Q2 ASTRONOMY & ASTROPHYSICS
JiaWen Xie , JingGang Miao , YuXuan Cui , ZongQi Zhao , Ying Lu
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引用次数: 0

Abstract

Stratospheric airships serve as crucial platforms for near-space applications, and their path planning in complex wind fields is a key challenge limiting future large-scale applications. The wind field exhibits temporal variability and uncertainty, leading to discrepancies between the currently available forecast data and the actual wind field. In this study, we construct determined, undetermined and Time-Sequnential uncertainty wind fields by sequentially updating the global forecast wind field at appropriate frequencies and incorporating uncertainty distributions. Building upon local static field path planning using Markov Decision Processes (MDP), this paper introduces a Sequential Multi-stage Markov Decision Process (DR-MDP) algorithm to find the shortest-time path from the current position to a target area in complex, time-varying wind fields, enabling global long-term path planning.Through simulation experiments, this study analyzes the regional reachability and optimal path selection of aerostats with different propulsion capabilities under three wind field models. Results demonstrate that the proposed method can plan the shortest-time path to a target point in a given two-dimensional wind field environment and provide expected arrival times at each position, providing a feasibility basis for the actual flight planning of the stratospheric airship.
时间序列不确定性风场下平流层飞艇长期全局路径规划
平流层飞艇是近空间应用的关键平台,其在复杂风场中的路径规划是限制未来大规模应用的关键挑战。风场表现出时间变异性和不确定性,导致目前可用的预报数据与实际风场之间存在差异。在本研究中,我们通过顺序更新适当频率的全球预报风场并纳入不确定性分布,构建了确定、未确定和时间序列的不确定性风场。本文在利用马尔可夫决策过程(MDP)进行局部静态场路径规划的基础上,提出了一种序列多阶段马尔可夫决策过程(DR-MDP)算法,用于在复杂时变风场中寻找从当前位置到目标区域的最短路径,从而实现全局长期路径规划。通过仿真实验,分析了三种风场模式下不同推进能力的浮空器的区域可达性和最优路径选择。结果表明,该方法能够在给定二维风场环境下规划出最短时间到达目标点的路径,并给出每个位置的预期到达时间,为平流层飞艇的实际飞行规划提供了可行性依据。
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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来源期刊
Advances in Space Research
Advances in Space Research 地学天文-地球科学综合
CiteScore
5.20
自引率
11.50%
发文量
800
审稿时长
5.8 months
期刊介绍: The COSPAR publication Advances in Space Research (ASR) is an open journal covering all areas of space research including: space studies of the Earth''s surface, meteorology, climate, the Earth-Moon system, planets and small bodies of the solar system, upper atmospheres, ionospheres and magnetospheres of the Earth and planets including reference atmospheres, space plasmas in the solar system, astrophysics from space, materials sciences in space, fundamental physics in space, space debris, space weather, Earth observations of space phenomena, etc. NB: Please note that manuscripts related to life sciences as related to space are no more accepted for submission to Advances in Space Research. Such manuscripts should now be submitted to the new COSPAR Journal Life Sciences in Space Research (LSSR). All submissions are reviewed by two scientists in the field. COSPAR is an interdisciplinary scientific organization concerned with the progress of space research on an international scale. Operating under the rules of ICSU, COSPAR ignores political considerations and considers all questions solely from the scientific viewpoint.
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