An autonomous multi-sensor satellite system based on multi-agent blackboard model

He, Lei; Li, Guoliang; Xing, Li-Ning; Chen, Yingwu

doi:10.17531/ein.2017.3.16

Cited by 7 publications

(4 citation statements)

References 21 publications

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“…The structure of the single autonomous satellite agent designed in this paper is based on He's [13] paper, and is shown in Figure 4. This kind of design can realize the distributed management of individual spacecraft function.…”

Section: A the Construction Of Single Autonomous Satellite Agentmentioning

confidence: 99%

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JADE implemented multi-agent based platform for multiple autonomous satellite system

Chen

Liu

et al. 2018

2018 SpaceOps Conference

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With the increase in the number of satellites and the complexity of missions performed by satellites, some of the imaging requests is difficult to finish by a single satellite but rely on multiple types of satellites. At the same time, traditional satellites are difficult to deal with conditions such as emergency, environmental uncertainty and so on. So the study of intelligent autonomous satellite is of great significance. Both of these requirements raised a new topic that is Multi-autonomous Satellite Cooperative Task Planning Problem. This paper focus on this problem and first designs a framework of multi-autonomous satellite cooperation task planning process. Based on this framework, this papaer designs a multi-agent based platform for multi-autonomous satellite system, which is implemented by JADE (Java Agent Development Framework). The multi-agent platform designed in this paper includes two layers. One layer is single autonomous satellite layer, the other one is multi-satellite cooperation layer. In the experiment part, this article builds a specific experimental platform for geostationary orbit and low-orbit satellites cooperative mission planning scenario, and proposes a task assign algorithm for this platform. We solve the experiment scenario designed in this paper by this platform, and the experiment results prove the validity of the platform designed in this paper. I. Nomenclature r= the ratio of the total resources consumption by each satellite's planned tasks to satellite's capabilities Storei = storage needed by task i Storemax = the largest usable storage of satellite GEO = autonomous geostationary satellite in experiment scenario LEOj = autonomous optical agile satellite j in experiment scenario 1 PhD. Student , College of systems engineering.

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Section: A the Construction Of Single Autonomous Satellite Agentmentioning

confidence: 99%

“…There are two types of satellites in the simulation experiment, the planning algorithm for geostationary satellite we use in this paper is the HNSGA-II algorithm proposed by Li [14] . And the planning algorithm for optical agile satellite we use in this paper is based on the methods proposed by He [ 13] .…”

Section: A the Algorithms Used In The Prototype Platformmentioning

confidence: 99%

JADE implemented multi-agent based platform for multiple autonomous satellite system

Chen

Liu

et al. 2018

2018 SpaceOps Conference

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“…GNSS (Global Navigation Satellite System) clocks are the core of navigation and positioning, where it is very important to ensure continuous and reliable operation in a wide range of applications, e.g. autonomous vehicles [8], dynamic displacements [26] or real-time positioning [25] and many others [12]. As research shows it has a main impact on the inaccuracy of results if clock are modelled incorrectly [5,7,13,17].…”

Section: Introductionmentioning

confidence: 99%

Aging of ground Global Navigation Satellite System oscillators

Maciuk¹

2022

Eksploatacja i Niezawodność – Maintenance and Reliability

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Global Navigation Satellite System (GNSS) are widely used in many areas of human life and activity. The proper functioning of GNSS systems depends on several factors, the most important of which is the correct knowledge of time. The position indirectly is based on the knowledge of the distance, which is determined based on time with the knowledge of the speed of the electromagnetic wave. Thus, proper (accurate) knowledge of time (GNSS clock stability) is a key to precise positioning. In this text, the long-term stability of the GNSS station clocks covering the years 1994-2020 was analysed. For this purpose, the corrections of the clocks at selected permanent stations were used, and their stability was determined for all years separately. Then the change of clock stability over time and the search for correlation were analysed. As the results showed, there are clearly differences between four of the type of oscillators analysed. In case of the comparison on an annual basis, no change over time was found.

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“…His framework supported allocation targets for satellites and collective sensing of a target for multi-satellites. He [18] considered three important sections of planning (store sequence of tasks, action sequence, and the satellite status) to deal with scientific event discovery, satellite faults, cloud obscuration, and emergencies.…”

Section: Introductionmentioning

confidence: 99%

Multi-Granularity Mission Negotiation for a Decentralized Remote Sensing Satellite Cluster

2020

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Satellite remote sensing is developing towards the micro-satellite cluster, which brings new challenges to mission assignment and planning for the cluster. A multi-agent system (MAS) is used, but the time delay caused by communication and computation is rarely considered. To solve the problem, a neural-network-based multi-granularity negotiation method under decentralized architecture is proposed. Firstly, we divided negotiation into three levels of granularity, and they work in different modes. Secondly, a neural network was trained to help the satellite select the best level in real-time. Through experiments, we compared the satellites working in three different levels of granularity, in which a multi-granularity decision was used. As a result of our experiments, a lower cost-effectiveness ratio was obtained, which proved that the multi-granularity negotiation method proposed in this paper is practical.

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An autonomous multi-sensor satellite system based on multi-agent blackboard model

Cited by 7 publications

References 21 publications

JADE implemented multi-agent based platform for multiple autonomous satellite system

JADE implemented multi-agent based platform for multiple autonomous satellite system

Aging of ground Global Navigation Satellite System oscillators

Multi-Granularity Mission Negotiation for a Decentralized Remote Sensing Satellite Cluster

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