Autonomous mission planning method for imaging satellites in dynamic environments

Abstract

The invention discloses a method for planning an autonomous task of an imaging satellite in a dynamic environment, and relates to the technical field of national defense construction. The method comprises: step 1, a satellite autonomous task planning problem: (1.1) describing and analyzing the problem; (1.2) calculating a cloud cover time window; (1.3) illustrating symbols and modeling; and step 2: autonomous task planning method. According to the method disclosed by the invention, the satellite autonomous task planning problem is described, analyzed and modeled at first, aiming at the autonomous task planning demands, resource constraint, dynamic environment change and other constraint conditions of the satellite are fully considered to provide the method for planning the autonomous task of the imaging satellite in the dynamic environment, a task planning optimization strategy is regulated, and satellite resources are reasonably allocated to give full play to the satellite efficiency, and finally, problem calculation examples with different scales are established to carry out repeated experiments to effectively utilize the satellite resources on the condition of guaranteeing the imaging number.

Description

Technical field: [0001] The invention relates to the technical field of national defense construction, in particular to a dynamic environment-oriented imaging satellite autonomous task planning method. Background technique: [0002] Earth observation technology is an important part of national defense construction. It can conveniently carry out global reconnaissance, missile test tracking, strike damage assessment, etc., and plays an important role in safeguarding the rights and interests of my country's land, sea, air, space, and electricity. It also plays an active role and has been widely used in environmental protection, national land census, earthquake resistance and disaster reduction, etc., and has become an important symbol of the country's comprehensive strength. [0003] As an important tool for earth observation, imaging satellites have obtained a wealth of flight and damage effect data through tracking and observation of precision-guided weapons, and played an act...

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Problems solved by technology

Dai Shuwu and others conducted theoretical research on autonomous technology and smart satellites earlier, Chen Hongbo and Xu Wenming from Harbin Institute of Technology conducted research on autonomous mission planning for deep space probes, Dai Jinhai and Zhang Zhengqiang from National University of Defense Technology and others In-depth modeling and solving of spacecraft autonomous planning problems have been carried out. However, these studies mainly focus on problem modeling and system framework levels. There are few reliable autonomous mission planning models that consider the actual complex natural environment such as clouds. almost blank

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