A method of 3-D region controlling for scientific balloon long-endurance flight in the real wind

Jiang, Yi; Lv, Mingyun; Zhu, Weiyu; Du, Haiyan; Zhang, Lanchuan; Li, Jun

doi:10.1016/j.ast.2019.105618

Cited by 12 publications

(8 citation statements)

References 29 publications

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“…In order to increase the scale and applicability of balloon systems, it is necessary to improve the capability of achieving altitude control, a problem that is currently debated in the literature [10], [11], [12], [13], [14], [15].…”

Section: Introductionmentioning

confidence: 99%

Altitude control of a remote-sensing balloon platform

Borges

Battistini

Cappelletti

et al. 2021

Aerospace Science and Technology

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Section: Introductionmentioning

confidence: 99%

Altitude control of a remote-sensing balloon platform

Borges

Battistini

Cappelletti

et al. 2021

Aerospace Science and Technology

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“…In the literature two distinct approaches are being used to reduce the complexity of the environment space. First, the bounds of the environments problem space are defined, serving to constrain the environment to a fixed area, which may range from several meters [48][49][50], to several kilometres [51][52][53]. Second, the frame of reference system applied to the environment is simplified away from a geographic coordinate system (degrees of latitude/longitude) to an abstract coordinate system in which the origin, orientation and the scale of the reference frame can be defined by the user in problem simulations.…”

Section: Uav Positioning Within An Environmentmentioning

confidence: 99%

“…This approach has the potential to enable efficient translation of large-scale areas into a navigable environment, and certainly holds merit for further exploration. Even where 3D environments have been studied, limited considerations only were given towards the earth's curvature and the resulting 3D distance problems, all of which are essential factors when considering high altitude and long distance UAV path-planning as highlighted in [52,79].…”

Section: Environmental Representation Strategiesmentioning

confidence: 99%

“…In dealing with dynamic environments, the risk exists that planned paths may become unachievable, with a change in prevailing environment conditions. It is therefore surprising to see the lack of exploration of wind as an external or controlling factor within the path-planning process, with only [52,125] exploring the impact upon path-planning.…”

Section: Uav Related Attributesmentioning

confidence: 99%

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Path-Planning for Unmanned Aerial Vehicles with Environment Complexity Considerations: A Survey

2023

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Unmanned aerial vehicles (UAVs) have the potential to make a significant impact in a range of scenarios where it is too risky or too costly to rely on human labour. Fleets of autonomous UAVs, which complete tasks collaboratively while managing their basic flight and related tasks independently, present further opportunities along with research and regulatory challenges. Improvements in UAV construction and components, along with developments in embedded computing hardware, communication mechanisms and sensors which may be mounted on-board a UAV are nearing the point where commercial deployment of fleets of autonomous UAVs will be technically possible. To fulfil this potential, UAVs will need to operate safely and reliably in complex and potentially dynamically changing environments with path-planning, obstacle sensing and collision avoidance paramount. This survey presents an original environment complexity classification, and critically analyses the current state of the art in relation to UAV path-planning approaches. Moreover, it highlights the existing challenges in environment complexity modelling and representation, path-planning approaches, and outlines open research questions together with future directions.

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“…The difference between them is whether there is a dynamic system. They are also called high-altitude scientific balloon and stratospheric airship because it often works in the altitude range of 25,000 m in stratosphere [1]. Aerostats have long-term working endurance which makes them widely used in resource monitoring, geographic mapping, security control, relay communication, military investigation and other fields [2][3][4].…”

Section: Introductionmentioning

confidence: 99%

A rapid prediction model of photovoltaic power generation for autonomous long‐duration aerostat

Liu

et al. 2023

IET Renewable Power Gen

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Autonomous long‐duration aerostats (LDA) are one of the most popular research directions of high‐altitude platforms (HAPS) in recent years. Solar photovoltaic (PV) array is the energy source of autonomous long‐duration aerostat, whose power generation predicting accuracy and speed affect the subsequent flight control strategy. Limited by incompleteness cognition of near space, current predicting results cannot meet the requirements of autonomous LDA. In this paper, a novel rapid prediction model of the PV array is proposed. Based on spatial position relation of PV cells, this model can predict the power of single PV cell in any state. The four influence factors including time difference, angle, efficiency loss and temperature are analyzed and optimized comprehensively and innovatively. The new model can be applied in both static state aerostat and dynamic state aerostat. Compared with the traditional model, the efficiency can be improved by 50% and the prediction accuracy can be improved by 10%.

show abstract

A method of 3-D region controlling for scientific balloon long-endurance flight in the real wind

Cited by 12 publications

References 29 publications

Altitude control of a remote-sensing balloon platform

Altitude control of a remote-sensing balloon platform

Path-Planning for Unmanned Aerial Vehicles with Environment Complexity Considerations: A Survey

A rapid prediction model of photovoltaic power generation for autonomous long‐duration aerostat

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