Space non-cooperative target capturing method based on deep enhancement learning

Abstract

The invention discloses a space non-cooperative target capturing method based on deep enhancement learning. The method comprises two steps. Interaction can be achieved by the method. The method comprises the steps that one, a three-dimensional visualized environment for a service aerial vehicle and a target aerial vehicle is constructed using three-dimensional visualized software, inputs of the visualized environment are control force and control moment of the service aerial vehicle, and outputs are the states of the service aerial vehicle and the target aerial vehicle; two, a convolutional neural network model is constructed, and intelligent autonomous space non-cooperative target capturing training is conducted on the service aerial vehicle in the three-dimensional visualized environment. The states of the service aerial vehicle and the target aerial vehicle are taken as inputs of the convolutional neural network model, weight parameters of the convolutional neural network model areutilized to output the control force and control moment needed for controlling the service aerial vehicle, the control force and the control moment are sent to the visualized environment, and the states of the two aerial vehicles are input to the neural network continually to perform constant deep enhancement training. The method has the advantages that a capturing feedback result can be correctlyoutput through the constant interaction of the visualized environment and the neural network.

Description

technical field [0001] The invention belongs to the field of aerospace technology, and in particular relates to a space non-cooperative target acquisition method based on deep reinforcement learning. Background technique [0002] Non-cooperative targets refer to spacecraft that are not designed for docking or capture, such as satellites and space debris that are not equipped with cooperative components of one’s own side, as well as spacecraft of the other party. They do not communicate at the information level and do not cooperate in maneuvering behavior. challenge. Many space military missions, such as destroying enemy space vehicles and assisting satellites that have not successfully entered the predetermined orbit, etc., need to complete the on-orbit capture of non-cooperative targets first. [0003] Judging from the current development situation, the capture technology for space cooperative targets has been relatively mature and has been successfully applied in on-orbit...

AI Technical Summary

Problems solved by technology

However, these methods have certain limitations: either the target model is known; or the image processing on the ground is required, and then the data is uploaded to the star, there is a certain time delay, and the reliability is affected; or it can only target a certain type of target, have limitations

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