Task scheduling method with quantity first

Abstract

The invention discloses a task scheduling method with quantity first. The task scheduling method comprises the following steps of: (1) dividing a task region into stripes; (2) calculating a visible time interval of a satellite for each stripe and sequencing according to starting moments of visible time windows so as to acquire a task sequence; (3) calculating an observation lasting time of each task stripe in the task sequence by adopting a secant method; (4) processing tasks in the task sequence in order, judging whether the current task and the last arranged task are conflicted with each other according to an attitude maneuver time of the satellite, if so, not arranging the current task, otherwise, stepping into a step (5); and (5) acquiring a foresight task group of the current task, judging whether the current task and tasks in the foresight task group are conflicted with one another, if not, arranging the current task, otherwise, accepting or rejecting the current task, and if the current task is retained, writing the current task into a satellite motion sequence and taking the current task as a result of the task scheduling.

Description

technical field [0001] The invention belongs to the field of satellite task planning and scheduling, and relates to a satellite task scheduling method. Background technique [0002] Rapid attitude maneuvering imaging satellites can realize a variety of complex imaging modes with the help of rapid attitude maneuvering capabilities. Compared with traditional earth observation satellites that use sub-satellite point imaging, the rapid attitude maneuver capability greatly increases the satellite's observation opportunities for targets, and thus has stronger observation capabilities. Each imaging mode of the rapid attitude maneuvering imaging satellite is accompanied by multiple operations such as attitude maneuvering, camera switching on and off, and these operations form a coherent control command sequence. Due to the large number of instructions, the reliability of instruction arrangement and annotation and the real-time execution of instructions cannot be guaranteed. Therefo...

AI Technical Summary

Problems solved by technology

The disadvantage of this method is that due to the complexity of the constraints, the problem scale is large, the solution is difficult and time-consuming

For example, in the ASPEN system, due to the troublesome conflict identification and resolution rules adopted, the solution efficiency is low. In the application of EO-1, only 4 tasks can be scheduled every day, which is difficult to meet the requirements of multi-task scheduling;

[0009] Third, most of the existing scheduling methods are related to the specific application satellites, and the design of the model is closely related to the specific spaceborne equipment, which is not general and universal

Traditional scheduling methods are not suitable for fast attitude maneuvering imaging satellites, and cannot meet the needs of task scheduling for fast attitude maneuvering imaging satellites

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