With the increase of satellites and military information, higher requirements have been put forward for the independent operation and management of satellites. Autonomous task planning has always been a difficult problem in the field of systems engineering. In order to improve the operational efficiency of satellite and realize the engineering application of autonomous task planning, a general model Autonomous task planning framework is designed by means of Model Based Systems Engineering (MBSE). Through the establishment of requirements, constraints, mission interface, mission level planning and algorithm level planning models, the logical system of autonomous task planning is determined. The logic simulation of the autonomous task planning was realized by MBSE, and the algorithm simulation was realized by the general operation control system, which verified the validity of the autonomous task planning, and provided ideas for future autonomous task planning model.

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Design and Verification of Remote Sensing Satellites Mission Planning Based on Systems Engineering

  • Zhuo Wang,
  • Yong Lei,
  • Xiaojuan Li,
  • Jinyuan Ma,
  • Kai Su,
  • Yue Li

摘要

With the increase of satellites and military information, higher requirements have been put forward for the independent operation and management of satellites. Autonomous task planning has always been a difficult problem in the field of systems engineering. In order to improve the operational efficiency of satellite and realize the engineering application of autonomous task planning, a general model Autonomous task planning framework is designed by means of Model Based Systems Engineering (MBSE). Through the establishment of requirements, constraints, mission interface, mission level planning and algorithm level planning models, the logical system of autonomous task planning is determined. The logic simulation of the autonomous task planning was realized by MBSE, and the algorithm simulation was realized by the general operation control system, which verified the validity of the autonomous task planning, and provided ideas for future autonomous task planning model.