An emergency task autonomous planning method of agile imaging satellite

Song, Yanjie; Huang, Danjie; Zhou, Ziyu; Chen, Yingwu

doi:10.1186/s13640-018-0268-8

Cited by 18 publications

(6 citation statements)

References 19 publications

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“…Therefore the maximal data capacity in one orbit of satellite j is defined as M C j , and the unit-time imaging data occupation is denoted as M I j . Note the onboard memory constraints can also be limited within the whole scheduling horizon [5,36].…”

Section: Operational Constraintsmentioning

confidence: 99%

“…Since a growing number of satellite emergency imaging tasks need to be scheduled in a relatively short time, Song et al [36] aim to implement a model of autonomous AEOSSP. A strategy to distinguish different emergency levels and various quantities is proposed, including three quick-insertion algorithms, e.g., emergency task insertion algorithm, gen-eral emergency task insertion algorithm and general emergency task planning & insertion algorithm.…”

Section: Time-efficient Heuristic For Autonomous Modelmentioning

confidence: 99%

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Agile Earth observation satellite scheduling over 20 years: formulations, methods and future directions

Wang,

Wu,

Xing

et al. 2020

Preprint

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Agile satellites with advanced attitude maneuvering capability are the new generation of Earth observation satellites (EOSs). The continuous improvement in satellite technology and decrease in launch cost have boosted the development of agile EOSs (AEOSs). To efficiently employ the increasing orbiting AEOSs, the AEOS scheduling problem (AEOSSP) aiming to maximize the entire observation profit while satisfying all complex operational constraints, has received much attention over the past 20 years. The objectives of this paper are thus to summarize current research on AEOSSP, identify main accomplishments and highlight potential future research directions. To this end, general definitions of AEOSSP with operational constraints are described initially, followed by its three typical variations including different definitions of observation profit, multi-objective function and autonomous model. A detailed literature review from 1997 up to 2019 is then presented in line with four different solution methods, i.e., exact method, heuristic, metaheuristic and machine learning. Finally, we discuss a number of topics worth pursuing in the future.

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Section: Operational Constraintsmentioning

confidence: 99%

Section: Time-efficient Heuristic For Autonomous Modelmentioning

confidence: 99%

Agile Earth observation satellite scheduling over 20 years: formulations, methods and future directions

Wang,

Wu,

Xing

et al. 2020

Preprint

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“…Many researchers are focusing on this problem: in [13], S. De Florio et al deal with the problem of planning and scheduling operations for a remote sensing satellite constellation; the same problem is addressed in [14], where G. Stock et al developed a ground software to automate the optimization of satellite constellation operations and validated the software in an operational mission; Y. Song et al designed an autonomous ground planner to acquire ground targets according to emergency levels [15]. An even more cutting-edge solution is proposed in [16], where S. Liu and J. Yang designed a satellite task planner by means of a heuristic search algorithm based on a symmetric recurrent neural network.…”

Section: Introductionmentioning

confidence: 99%

Analytical Attitude Guidance Planner for Multiple Ground Targets Acquisitions

2022

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This paper focuses on the development of a guidance methodology for the planning of multiple ground target acquisition. Specifically, the work addresses the problem of the lack of an attitude guidance planner (AGP) aboard a remote sensing satellite. In general, the guidance is computed offline and uploaded by ground control to the space segment, i.e., satellites are not responsible for the guidance generation but they only perform control algorithms to track the guidance profiles provided by the ground segment. Overall, this limits the mission flexibility and efficiency, affecting the capability of autonomous satellite decisions. This choice is driven by the fact that the numerical algorithms used to optimize the attitude guidance trajectory require high computational effort to be implemented directly on the satellite computer. Therefore, the aim of this work is to design an analytical AGP solution to solve this problem by requiring low computational effort, making it suitable for real-time applications on on-board flight hardware. In this way, the satellite’s guidance, navigation, and control (GNC) module would become completely autonomous and independent of ground control, which will only have to indicate the targets to be acquired so that the satellite can generate its own guidance for the GNC module. The AGP analytical solution for multiple ground target acquisition is evaluated by means of phases: the first phase is named the APPG (attitude point-to-point generator) and it aims to generate the point-to-point guidance to start the ground target acquisition. The second phase is named the ATPG (attitude target pointing generator) and it generates the reference guidance to maintain the payload view axis pointing toward the ground target. The two phases joined together give the whole guidance needed to observe ground target points by means of an analytical closed-form solution.

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“…With further development of the space remote sensing technology, the requirement for earth observation is becoming more and more complex. Agile optical satellite (AOS) has the characteristics of rapid attitude maneuver, thereby being widely applied for the earth observation missions [1]- [3]. Compared with general optical satellite, AOS can observe the ground targets continuously while maneuvering, which means it can coverage wider area and observe more quantities of potential targets within a finite observation interval.…”

Section: Introductionmentioning

confidence: 99%

The Attitude Control Algorithm of Agile Optical Satellite Oriented to Nonparallel-Ground-Track-Imaging

Zhao

Hao

et al. 2019

IEEE Access

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This paper concerns the control algorithm oriented to nonparallel-ground-track-imaging for agile optical satellite. Firstly, for obtaining the desired trajectory, the mapping relationship between the satellite attitude and the ground stripe is established by using space vector method. According to the mapping function, an attitude adjustment strategy via constant scanning velocity is proposed. Then, considering the exact information of the external disturbance cannot be obtained and the input saturation problem, a robust anti-saturation tracking controller is designed via fixed-time disturbance observer and integral sliding mode. Finally, the effectiveness of the proposed control algorithm is illustrated by numerical simulation. INDEX TERMS Agile optical satellite, nonparallel-ground-track-imaging, integral sliding mode, disturbance observer, input saturation.

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An emergency task autonomous planning method of agile imaging satellite

Cited by 18 publications

References 19 publications

Agile Earth observation satellite scheduling over 20 years: formulations, methods and future directions

Agile Earth observation satellite scheduling over 20 years: formulations, methods and future directions

Analytical Attitude Guidance Planner for Multiple Ground Targets Acquisitions

The Attitude Control Algorithm of Agile Optical Satellite Oriented to Nonparallel-Ground-Track-Imaging

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