Deep space probe autonomous mission planning time constraint geometric processing method

Abstract

The invention relates to a deep space probe autonomous mission planning time constraint geometric processing method and belongs to the technical field of deep space exploration. The invention discloses a method for verifying time constraint consistency (active variable value domain can meet all constraints) and geometrically processing the constraints, so that the time constraint consistency in the planning process of a deep space probe can be verified and time constraint is processed quickly, the final active variable value domain can be obtained, and the defect of long calculation time caused by adopting a time constraint network to process a large number of active variables is solved. Compared with the time processing method based on the time constraint network, the method in the invention solves the same time constraint problem, the computation time is short and efficiency is high; and the method is more suitable for the deep space probe having high real-time performance requirement.

Description

technical field [0001] The invention relates to a time-constrained geometric processing method for autonomous task planning of a deep-space detector, belonging to the technical field of deep-space detection. Background technique [0002] In the deep space environment, the distance between the deep space probe and the target is long, the flight time is long, and the environment is dynamic and changeable. The traditional ground station-spacecraft control method has been unable to meet the requirements of operating costs, real-time performance, communication networks, etc. Require. In order to achieve higher real-time requirements, the application of autonomous technology in detectors has become an important way. Autonomous task planning technology is one of the key technologies of autonomous technology. [0003] In the field of deep space exploration, the use of autonomous mission planning requires the representation of time and the processing of time constraints. At presen...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to solve the problem of time constraint processing in the autonomous task planning of deep space detectors, and to overcome the shortcomings of large amount of calculation and long calculation time of the time constraint network, and propose a time constraint geometric processing method for autonomous task planning of deep space detectors , is a method of verifying the consistency of time constraints (the range of active variables can satisfy all constraints) and constraint geometry processing. In the case of many active variables in mission planning, it can quickly realize the processing of time constraints, so as to meet the real-time requirements of detectors.

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