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Taoze Ban

dblp:383/4636 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2024
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 since 2021Systems, architecture and hardware · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Energy-efficient computing · 100%
Artificial intelligence
1 paper
Legged, aerial and field robots · 100%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Computational science and engineering · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Legged, aerial and field robots › aerial robots
unmanned aerial vehicle
0.812024
Energy Consumption Modelling of Coaxial-Rotor in Vortex Ring State for Controllable High-speed Descending · ICRA 2024
Energy-efficient computing › energy modeling
energy consumption modeling
0.812024
Energy Consumption Modelling of Coaxial-Rotor in Vortex Ring State for Controllable High-speed Descending · ICRA 2024
Energy-efficient computing
power management
0.812024
Energy Consumption Modelling of Coaxial-Rotor in Vortex Ring State for Controllable High-speed Descending · ICRA 2024
Computational science and engineering
computational fluid dynamics
0.212024
Energy Consumption Modelling of Coaxial-Rotor in Vortex Ring State for Controllable High-speed Descending · ICRA 2024

Methods — techniques the papers use, named apart from their topics

wind tunnel experiment · 2.3theoretical modeling · 2.3computational fluid dynamics · 2.3
YearPublicationVenuePosition
2024 Energy Consumption Modelling of Coaxial-Rotor in Vortex Ring State for Controllable High-speed Descending
abstract
The ability to fast climb and descend is crucial for Unmanned Aerial Vehicle (UAV) applications in the mountains. The slower descent speed will affect the UAV’s working efficiency in reaching the rescue area. However, during the fast descent of the rotorcraft, a chaotic flow field rampages as the rotorcraft falls into its wake flow. This is known as the vortex ring. Therefore, the safe descent velocity of consumer UAVs is usually limited to approximately 3m/s. This limitation reduces the potential of UAVs to execute tasks in mountainous and plateau regions. To broaden the task capability constrained by the maximum descending speed, it is necessary to jointly analyze the flow field and the energy consumption during descending. Existing research mainly focused on how to avoid entering the vortex ring instead of offering sufficient power to fly with it. In this paper, in order to achieve an efficient rotorcraft for rescuing in mountainous and plateaus, we break through the maximum-descending-speed of a coaxial rotors UAV. Hence, a power consumption managing pipeline is proposed to extend the power tolerance of the UAV. Specifically, a theoretic model for the coaxial rotors is proposed to analyze the induced velocity and energy consumption during vertical descending. Then, the theoretic model is verified to be consistent with the Computational Fluid Dynamics (CFD) and wind tunnel experiment results. Finally, we optimized the tolerance of the power and dynamic system according to the theoretic model. With this pipeline, our real-time flight achieved 8m/s controlled vertical-descent-speed (CVDS), which is a leading result in both quadrotors and coaxial UAVs.
Taoze Ban, Jiannan Zhao, Feng Shuang 0002
ICRA3