Flow-Aware Trajectory Planning for Controlled-Altitude Balloons

Autonomous high-altitude balloons are promising tools for studying dynamic environments. Their ability to navigate strong wind currents with minimal actuation makes them efficient options for scientific research. In fact, the flow in which these vehicles operate can both facilitate and restrict their ability to traverse the environment. Thus, to deploy the balloons effectively, motion planning becomes essential, requiring the consideration of both the environmental flows and the vehicle’s ability to maneuver through them. This paper proposes a probabilistic-based kinodynamic motion planner for an underactuated variable-altitude balloon navigating in flow-dominant environments. The proposed algorithm samples feasible control inputs rather than configurations to produce thrust commands that are within the physical actuation limits of the underactuated vehicle. In this paper, we consider both two-dimensional and three-dimensional vehicles with actuation in the vertical direction only. To test our method, simulations are shown for typical environments such as the double-gyre and the jet flows, and also for a more realistic environment based on Venus’ atmospheric wind flow.

Authors

Institutions

Publication Details

Journal
Applied Sciences
Published
2025-11-21
DOI
https://doi.org/10.3390/app152312366
Primary Topic
Aerospace Engineering and Energy Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Flow-Aware Trajectory Planning for Controlled-Altitude Balloons

Guilherme A. S. Pereira, Austin Sponaugle
Applied Sciences
Aerospace Engineering and Energy Systems
article

Flow-Aware Trajectory Planning for Controlled-Altitude Balloons

Guilherme A. S. Pereira, Austin Sponaugle
article en

Abstract

Autonomous high-altitude balloons are promising tools for studying dynamic environments. Their ability to navigate strong wind currents with minimal actuation makes them efficient options for scientific research. In fact, the flow in which these vehicles operate can both facilitate and restrict their ability to traverse the environment. Thus, to deploy the balloons effectively, motion planning becomes essential, requiring the consideration of both the environmental flows and the vehicle’s ability to maneuver through them. This paper proposes a probabilistic-based kinodynamic motion planner for an underactuated variable-altitude balloon navigating in flow-dominant environments. The proposed algorithm samples feasible control inputs rather than configurations to produce thrust commands that are within the physical actuation limits of the underactuated vehicle. In this paper, we consider both two-dimensional and three-dimensional vehicles with actuation in the vertical direction only. To test our method, simulations are shown for typical environments such as the double-gyre and the jet flows, and also for a more realistic environment based on Venus’ atmospheric wind flow.

Applied SciencesVol. 15(23)
West Virginia University (US)
Openalex Percentile: Top 53%
Aerospace Engineering and Energy Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.