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    Energy-Dependent Mission Planning for Agile Earth Observation Satellite

    Source: Journal of Aerospace Engineering:;2019:;Volume ( 032 ):;issue: 001
    Author:
    Lin Zhao; Shuo Wang; Yong Hao; Ye Wang
    DOI: 10.1061/(ASCE)AS.1943-5525.0000949
    Publisher: American Society of Civil Engineers
    Abstract: This paper investigates the energy-dependent mission planning of an agile earth observation satellite. According to the similarities between energy-dependent mission planning and the dynamic traveling salesman problem (DTSP), the energy-dependent mission planning is converted into a DTSP through two mappings from observation angle and energy to city and distance. In addition, to eliminate the uncertainty of feasible attitude trajectories/energy for a given scheduling strategy, a multiple-stage optimal energy factor is developed for the model extension. The paper further uses the time-optimal minΔTtransi−1,i in the transition time constraint as an input of the model to enlarge the optional execution time for the subsequent target in a consecutive observation. To solve this problem, a hybrid method integrating the Gauss pseudospectral method and the genetic algorithm (GPM-GA) is proposed which uses the genetic algorithm to generate the feasible solutions for scheduling process, whereas the Gauss pseudospectral method (GPM) is used to optimize the energy and the transition time constraint parameter for each solution. Extensive simulation results show that, compared with the classical genetic algorithm (CGA), the energy consumption and simulation time of the proposed algorithm are decreased effectively. In particular, the simulation time decreases more obviously with larger target sizes. Furthermore, attitude trajectory projections of satellite motion provided by GPM-GA are much smoother. These numerical and visualization results demonstrate the superiority of GPM-GA in terms of energy efficiency, computational efficiency, and attitude trajectory smoothing.
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      Energy-Dependent Mission Planning for Agile Earth Observation Satellite

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4254706
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    contributor authorLin Zhao; Shuo Wang; Yong Hao; Ye Wang
    date accessioned2019-03-10T12:02:12Z
    date available2019-03-10T12:02:12Z
    date issued2019
    identifier other%28ASCE%29AS.1943-5525.0000949.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4254706
    description abstractThis paper investigates the energy-dependent mission planning of an agile earth observation satellite. According to the similarities between energy-dependent mission planning and the dynamic traveling salesman problem (DTSP), the energy-dependent mission planning is converted into a DTSP through two mappings from observation angle and energy to city and distance. In addition, to eliminate the uncertainty of feasible attitude trajectories/energy for a given scheduling strategy, a multiple-stage optimal energy factor is developed for the model extension. The paper further uses the time-optimal minΔTtransi−1,i in the transition time constraint as an input of the model to enlarge the optional execution time for the subsequent target in a consecutive observation. To solve this problem, a hybrid method integrating the Gauss pseudospectral method and the genetic algorithm (GPM-GA) is proposed which uses the genetic algorithm to generate the feasible solutions for scheduling process, whereas the Gauss pseudospectral method (GPM) is used to optimize the energy and the transition time constraint parameter for each solution. Extensive simulation results show that, compared with the classical genetic algorithm (CGA), the energy consumption and simulation time of the proposed algorithm are decreased effectively. In particular, the simulation time decreases more obviously with larger target sizes. Furthermore, attitude trajectory projections of satellite motion provided by GPM-GA are much smoother. These numerical and visualization results demonstrate the superiority of GPM-GA in terms of energy efficiency, computational efficiency, and attitude trajectory smoothing.
    publisherAmerican Society of Civil Engineers
    titleEnergy-Dependent Mission Planning for Agile Earth Observation Satellite
    typeJournal Paper
    journal volume32
    journal issue1
    journal titleJournal of Aerospace Engineering
    identifier doi10.1061/(ASCE)AS.1943-5525.0000949
    page04018118
    treeJournal of Aerospace Engineering:;2019:;Volume ( 032 ):;issue: 001
    contenttypeFulltext
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    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian