Unlock instant, AI-driven research and patent intelligence for your innovation.

A Multi-target Observation Trajectory Intelligent Perception Method Applicable to Payload Staring Imaging

A technology of intelligent perception and staring imaging, applied in the field of aerospace control, can solve the problems of carrying out in-depth research work on the particularity of staring observation tasks that have not been loaded, so as to improve the optimization ability, reduce the probability of falling into a local minimum, and reduce the amount of calculation. small effect

Active Publication Date: 2022-04-19
BEIJING INST OF CONTROL ENG
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, there have been research results based on intelligent optimization algorithms such as genetic algorithm, immune algorithm, particle swarm algorithm, and tabu search algorithm. research work

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A Multi-target Observation Trajectory Intelligent Perception Method Applicable to Payload Staring Imaging
  • A Multi-target Observation Trajectory Intelligent Perception Method Applicable to Payload Staring Imaging
  • A Multi-target Observation Trajectory Intelligent Perception Method Applicable to Payload Staring Imaging

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0087]The required observation target range is: 50 dense target points from 115°E to 125°E (E115°~E125°), and 25°N to 35°N (N25°~N35°) latitude. The orbital parameters, attitude maneuvers and load performance of the spacecraft platform are shown in the table below.

[0088] Table 1 Related parameter settings

[0089]

[0090]

[0091] The relevant parameters of the improved intelligent ant colony algorithm are set as follows: the maximum number of iterations is 40, the number of ants is 30, the weights of the transition probability are α=2, β=1, γ=1.5, λ=1.5, χ=3, and the optimization index weight k=10 -6 . The observation income W of the target point i Choose randomly from 0 to 1. The observation time of each target point is 10s. Figure 3 ~ Figure 5 The intelligent perception observation trajectory of multi-target points after clustering, the comprehensive observation income, and the observation trajectory of non-clustered multi-target points are given respectivel...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

An intelligent perception method for multi-objective observation trajectories suitable for payload staring imaging. Firstly, a clustering model of observation multi-objective points required by the spacecraft platform is established, and then an observation trajectory perception optimization model is established based on the obtained clustering model. The model is solved using the improved intelligent ant colony algorithm to obtain the optimal observation trajectory. Compared with the existing method, the method of the present invention fully considers the characteristics of the staring imaging task of the load area array, and the clustering model established can reduce the number of maneuvers of the spacecraft platform under the premise of ensuring the largest number of observation targets. In addition, the method of the present invention The obtained observation trajectory fully considers the actual constraints such as the time window and the attitude maneuverability of the spacecraft platform, and is more in line with the actual needs of the project.

Description

technical field [0001] The invention relates to the field of aerospace control, in particular to an intelligent perception method for multi-target observation trajectory suitable for staring imaging of loads. Background technique [0002] With the substantial increase in the scale of ground observation tasks, traditional non-agile spacecraft are difficult to meet the needs of earth observation. In recent years, agile spacecraft has developed rapidly. Due to its three-axis rapid attitude maneuver capability, it has higher flexibility and more options for earth observation. In order to complete more point target observation tasks within a specific time window, how to perform reasonable and efficient observation trajectory perception optimization has become a primary issue. On the one hand, a higher-performance intelligent optimization algorithm is directly designed to meet the observation requirements of multiple target points on the ground; on the other hand, the targets are...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06K9/62G06N3/00G06Q50/30
CPCG06Q10/047G06N3/006G06F18/23G06Q50/40
Inventor 李文博王淑一谌颖汤亮雷拥军刘其睿关新车汝才吴倩高进张怡葛莹王丽娇何海锋
Owner BEIJING INST OF CONTROL ENG