Task planning method for agile earth satellite

Abstract

The invention discloses a task planning method for an agile earth satellite. The method comprises the following steps of 1, selecting a target function; 2, according to the target function in the step1, generating an initial solution x, and taking x as a starting point of local search; 3, performing parameter initialization, wherein parameters include a neighborhood number kmax, an iterative search frequency lmin used for judging whether a process of falling into local optimum exists or not, a maximum iterative search frequency lmax used for judging whether an algorithm is stopped or not, iterative counters m and n, and a neighborhood counter k, and k, m and n are set to be 1, 0 and 0 respectively; 4, randomly determining a feasible solution y in a kth neighborhood structure of the solution x, and enabling n to be equal to n+1; 5, if y is superior to x, enabling x to be equal to y and m to be equal to 0, or otherwise, enabling m to be equal to m+1; 6, if n==lmax, going to the step 9;7, if m==lmin, indicating that the process of falling into the local optimum already exists and k=k+1, or otherwise, going to the step 4; 8, if k<=kmax, enabling m to be equal to 0, and going to the step 4; and 9, ending the algorithm, and outputting x. According to the method, resources and time can be allocated for observation tasks or data return tasks; and on the premise of meeting task constraints and resource constraints, the observation benefits are maximized.

Description

technical field [0001] The invention relates to the technical field of observation satellites, in particular to a task planning method for agile earth-to-earth satellites. Background technique [0002] Most of the planning schemes executed by earth observation satellites are generated by the ground mission planning system, and then uploaded to the satellite through the satellite-ground link. This "big loop of heaven and earth" management and control mode takes a long time from demand collection to data collection to product generation, and cannot meet the timeliness requirements of the future earth observation system at all. Compared with the "big loop of heaven and earth", the satellite autonomous planning technology has great advantages in improving the satellite's rapid response ability to dynamic observation needs, improving the multi-satellite coordination ability, and reducing the dependence on the ground measurement and control system, so it is very suitable for Solv...

AI Technical Summary

Problems solved by technology

However, it is this efficient and convenient user experience that has brought great challenges to the organization of Earth observation, especially the higher requirements for the planning of observation tasks.

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