Mission Planning of Agile Satellites for Multi-Targets Observation
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- 英文论文题名：Mission Planning of Agile Satellites for Multi-Targets Observation
- 论文作者：Lin Zhao ; Shuo Wang ; Yong Hao ; Xiande Wu
- 英文论文作者：Lin Zhao ; Shuo Wang ; Yong Hao ; Xiande Wu ; College of Automation ; Harbin Engineering University
- 年：2017
- 作者机构：College of Automation,Harbin Engineering University;
- 英文论文关键词：Agile satellites ; mission planning ; genetic algorithm ; polynomial fitting
- 会议召开时间：2017-07-26
- 会议录名称：第36届中国控制会议论文集（B）
- 英文会议录名称：Proceedings of the 36th Chinese Control Conference（B）
- 语种：英文
- 分类号：V448.2
- 学会代码：KZLL
- 会议名称：第36届中国控制会议
- 会议地点：中国辽宁大连
- 主办单位：中国自动化学会控制理论专业委员会
- 学会名称：中国自动化学会控制理论专业委员会
- 页数：4
- 文件大小：381k
- 原文格式：D
- 会议级别：全国
摘要
Mission planning is an effective support and important guarantee for agile satellites to implement earth observation missions. According to traditional mission planning methods by which the mission and attitude are independently planned, the observation efficiency of agile satellites cannot be fully utilized. This paper considers the cooperative planning of mission and attitude, and establishes a multi-objective cooperative planning model of agile satellites based on dynamic traveling salesman model. In view of the complexity of the encoding method for the traditional single genetic algorithm, a novel algorithm combining genetic algorithm and polynomial fitting is proposed to reduce the encoding dimension of genetic algorithm. In this algorithm, quintic polynomials are used to estimate the attitude paths, and genetic algorithm is used to provide the cooperative planning with the observation order and the relative observation time. The numerical results demonstrate that the proposed algorithm can output the smooth attitude path and the convergence speed can be improved.
Mission planning is an effective support and important guarantee for agile satellites to implement earth observation missions. According to traditional mission planning methods by which the mission and attitude are independently planned, the observation efficiency of agile satellites cannot be fully utilized. This paper considers the cooperative planning of mission and attitude, and establishes a multi-objective cooperative planning model of agile satellites based on dynamic traveling salesman model. In view of the complexity of the encoding method for the traditional single genetic algorithm, a novel algorithm combining genetic algorithm and polynomial fitting is proposed to reduce the encoding dimension of genetic algorithm. In this algorithm, quintic polynomials are used to estimate the attitude paths, and genetic algorithm is used to provide the cooperative planning with the observation order and the relative observation time. The numerical results demonstrate that the proposed algorithm can output the smooth attitude path and the convergence speed can be improved.
Mission planning is an effective support and important guarantee for agile satellites to implement earth observation missions. According to traditional mission planning methods by which the mission and attitude are independently planned, the observation efficiency of agile satellites cannot be fully utilized. This paper considers the cooperative planning of mission and attitude, and establishes a multi-objective cooperative planning model of agile satellites based on dynamic traveling salesman model. In view of the complexity of the encoding method for the traditional single genetic algorithm, a novel algorithm combining genetic algorithm and polynomial fitting is proposed to reduce the encoding dimension of genetic algorithm. In this algorithm, quintic polynomials are used to estimate the attitude paths, and genetic algorithm is used to provide the cooperative planning with the observation order and the relative observation time. The numerical results demonstrate that the proposed algorithm can output the smooth attitude path and the convergence speed can be improved.
引文
[1]Z.L.Li,X.J.Li,Z.H.Wang.Current status and prospect of agile satellite mission planning.Journal of Equipment Academy,2016,27(1):69-75.
[2]R.X.Xiang.Research on selecting and scheduling observations of agile satellites.Changsha:National University of Defense Technology,2010,chapter 4.
[3]J.Li.Fuel-optimal low-thrust formation reconfiguration via Radau pseudospectral method.Advances in space research,2016,58(1):1-16.
[4]H.C.Hao,W.Jiang,Y.J.Li.Mission planning for agile earth observation satellites based on hybrid genetic algorithm.Science Technology and Engineering,2013,13(17):4972-4978.
[5]M.Lematre,G.Verfaillie,F,Jouhaud,et al.Selecting and scheduling observations of agile satellites.Aerospace Science and Technology,2002,6(5):367—381.
[6]P.Tangpattanakul,N.Jozefowiez,P.Lopez.Multi-objective optimization for selecting and scheduling observations by agile earth observing satellites.Proceedings of the 12th international conference on Parallel Problem Solving from Nature,2012,2(5):112—121.
[7]D.Ye,Research on fast maneuver and stabilization control algorithm for agile satellite.Harbin:Harbin Institute of Technology,2013,chapter 2.
[8]G.Sami,B.Amara,New oversampling approaches based on polynomial fitting for imbalanced data sets.8th International Workshop on Document Analysis Systems,2008,667-684.
[2]R.X.Xiang.Research on selecting and scheduling observations of agile satellites.Changsha:National University of Defense Technology,2010,chapter 4.
[3]J.Li.Fuel-optimal low-thrust formation reconfiguration via Radau pseudospectral method.Advances in space research,2016,58(1):1-16.
[4]H.C.Hao,W.Jiang,Y.J.Li.Mission planning for agile earth observation satellites based on hybrid genetic algorithm.Science Technology and Engineering,2013,13(17):4972-4978.
[5]M.Lematre,G.Verfaillie,F,Jouhaud,et al.Selecting and scheduling observations of agile satellites.Aerospace Science and Technology,2002,6(5):367—381.
[6]P.Tangpattanakul,N.Jozefowiez,P.Lopez.Multi-objective optimization for selecting and scheduling observations by agile earth observing satellites.Proceedings of the 12th international conference on Parallel Problem Solving from Nature,2012,2(5):112—121.
[7]D.Ye,Research on fast maneuver and stabilization control algorithm for agile satellite.Harbin:Harbin Institute of Technology,2013,chapter 2.
[8]G.Sami,B.Amara,New oversampling approaches based on polynomial fitting for imbalanced data sets.8th International Workshop on Document Analysis Systems,2008,667-684.