期刊文献+

自主运行地面站的微小卫星任务规划方法 被引量:2

Automatic Task Scheduling Method for Micro- Satellite Ground Station
下载PDF
导出
摘要 提出了一种新的微小卫星系统任务规划方法,解决微小卫星任务遥控时资源受限的问题;通过GQM建模将卫星调度任务进行度量元素量化,量化过程中兼顾公平性和合理性,并以任务完成度和卫星功耗作为目标进行评估;通过1000次卫星过顶仿真,40项建模任务的平均完成度达到0.63,每次过顶卫星功耗方差不超过40,证明新方法较传统方法在平稳功耗条件下任务完成度得到有效提升,具有良好的实用性和指导性,适用于自动任务规划和调度的自主运行地面站系统。 In this paper, a new task scheduling method is proposed to deal with the telecontrol problem of resource--constrained micro-- satellite. This method is based on the GQM model, which can quantify the priority of micro--satellite tasks fairly and evaluate the complete- ness and power consumption of the tasks reasonably. Over 1000 times simulation of satellite overhead, the average degree of completion of the 40 modeling tasks reaches 0.63, and the power consumption variance of each satellite overhead is not more than 40. The simulation result shows that this method can not only ensure the completeness of the tasks, but also guarantee the steady power consumption of the micro-- satellite. The method has good practicability and guidance and is suitable for the automatic ground station.
出处 《计算机测量与控制》 北大核心 2014年第2期522-524,共3页 Computer Measurement &Control
基金 国家自然科学基金(NSFC 61021001 NSFC 61101072) 国家科技支撑计划(2008BAH251303)
关键词 微小卫星 任务规划 GQM建模 micro-- satellite task scheduling GQM model
  • 相关文献

参考文献5

二级参考文献22

共引文献44

同被引文献21

  • 1Wang H H, Chen Z G, Zheng J J, et al. A New Algorithm for Onboard Autonomous Orbit Determination of Navigation Satellites[J].Journal of Navigation, 2011, 64(S1).
  • 2Lee M F R, Chiu F H S, Zhuo C. Remote Sensing and Analysis using Autonomous Mobile Robot with Onboard Micro-Spectrometer[C]. In- ternational Conference on Fuzzy Theory and Its Applications, Taipei, 2013.
  • 3Fukushima Y, Mita M. A New Approach to Onboard Planning and Scheduling for Autonomous Remote Systems[C]. IEEE International Conference on Mechatronlcs, Istanbul, Turkey, 2011.
  • 4Ella H, Josh N, Marc S, et al. Onboard Autonomous Planning System [C]. International Conference on Space Operations, Pasadena, CA, 2014.
  • 5Geller D K. Linear Covariance Techniques for Orbital Rendezvous Analysis and Autonomous Onboard Mission planning[J]. Journal of Guidance, Control, and Dynamics, 2006, 29(6).
  • 6Tang X F, Gao F, Xu G Y, et al. Sensor Systems for Vehicle Environ- ment Perception in a Highway Intelligent Space System[J]. Sensors, 2014, 14(5).
  • 7Lu F, Tian G H, Wang X H. Intelligent Space System Oriented to the Home Service Robot[C]. Proceedings of the International Conference on System Science and Engineering, Dalian, 2012.
  • 8Lu F, Wang X R, Tian G H. The Structure and Application of Intelli- gent Space System Oriented to Home Service Robot[C]. Proceeding of the IEEE International Conference on Information and Automation, Shenyang, 2012.
  • 9李军,郭玉华,王钧,景宁.基于贪婪随机自适应过程的多类型卫星联合任务规划技术[J].系统工程与电子技术,2010,32(10):2162-2165. 被引量:4
  • 10贺仁杰,高鹏,白保存,李菊芳,姚锋,邢立宁.成像卫星任务规划模型、算法及其应用[J].系统工程理论与实践,2011,31(3):411-422. 被引量:51

引证文献2

二级引证文献11

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部