A Continuous Imaging Control Method Based on Critical Path Optimization

Abstract

The invention relates to a critical path optimization-based continuous imaging control method. The method can be applicable to an agile imaging remote sensing satellite capable of executing continuous imaging tasks. According to the method, an imaging task queue is formed according to a time sequence; the directed graph model of each imaging task is constructed on the basis of a basic instruction sequence; a longest delay path between a vertex corresponding to the start data recording instruction of a current imaging task and a vertex corresponding to the start data recording instruction of the next imaging task, which is contained in the directed graph models of the continuous imaging tasks, is searched, when the time interval of the start data recording instructions of the two continuous imaging tasks is smaller than the critical path length of the directed graph models, the dyed states of the vertexes and edges of directed graph models corresponding to the continuous imaging tasks are continuously optimized through using methods such as cancelling inter-task attitude swing, combing inter-task startup and shutdown instructions and de-coupling basic instruction sequences; and on the basis of the topologically-optimized directed graph models, the control instruction sequence of the continuous imaging tasks are generated automatically.

Description

technical field [0001] The invention belongs to the field of satellite control and relates to an imaging control method for remote sensing satellites, which is suitable for agile imaging remote sensing satellites capable of performing continuous imaging tasks. Background technique [0002] Traditional remote sensing satellites carry a single payload, have low imaging resolution, slow attitude maneuvering speed, and small payload data. The satellites mainly undertake regional census tasks. Outside the census area, the user turns on the payload equipment and data transmission equipment in advance, and starts the satellite attitude maneuver to complete the imaging task. Therefore, traditional satellites mostly rely on manual means to arrange imaging task instructions, and use serial control mode to complete actions such as attitude maneuvering, payload and data transmission equipment switching in sequence, which can meet the requirements of use. [0003] With the rapid improve...

AI Technical Summary

Problems solved by technology

[0006] The technical problem solved by the present invention is: Aiming at the multi-task time-sequence cooperative optimization control problems such as satellite continuous imaging tasks attitude maneuvering, payload imaging, and data transmission control, a method for remote sensing satellite continuous imaging control is proposed, by searching the directed graph model of continuous imaging tasks The critical path of the critical path and automatically optimize the control instruction chain of the continuous imaging task according to the type of instructions contained in the critical path, which significantly reduces the work intensity of manual preparation of complex instruction sequences such as attitude maneuvering, payload imaging, and digital transmission control of the continuous imaging task. On-orbit operation risks of satellites caused by errors

Images