PIO-based round orbital space vehicle formation reconfiguration type anti-collision path planning method

A formation reconstruction and path planning technology, which is applied in the directions of instruments, three-dimensional position/course control, vehicle position/route/altitude control, etc., can solve problems such as complex calculations

Active Publication Date: 2018-11-27
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
View PDF1 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the invention of the present invention is to address the deficiencies of the above-mentioned background technology, providing a PIO-based circular orbit spacecraft formation reconfiguration anti-collision path planning method, considering the formation fuel Consumption and collision avoidance factors between spacecraft realize the optimization of the flight path of the spacecraft formation, and solve the technical problem of complex calculation when the existing spacecraft formation is reconfigured to avoid collision planning

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
  • PIO-based round orbital space vehicle formation reconfiguration type anti-collision path planning method
  • PIO-based round orbital space vehicle formation reconfiguration type anti-collision path planning method
  • PIO-based round orbital space vehicle formation reconfiguration type anti-collision path planning method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0070] Given the initial position and end position of the formation composed of three spacecraft, the iteratively optimized flight path and the value of the corresponding fitness function after each iteration are calculated through the improved pigeon group intelligent optimization algorithm.

[0071] The initial parameters required for the simulation are shown in Table 1. Among them, R is the geomagnetic factor coefficient, which determines the change of the iterative step size of the algorithm. Generally, it is related to the number of iterations and the optimization space of the problem, and its value is generally artificially set to 0. Between -1. n is the average angular velocity of the circular orbit of the spacecraft, which is related to the orbital altitude, and the orbital altitude is set to 400km in this paper. σ u1 , σ u2 , σ u3 are the standard deviations of position errors on the three coordinate axes of the spacecraft in its satellite-based coordinate system, ...

Embodiment 2

[0081] The initial parameters of the algorithm still use the data in Table 1. Expand the spacecraft formation to 9, and the coordinates of the initial and final configurations in the C-W coordinate system are shown in Table 4.

[0082] Table 4 Coordinates of start and end positions of 9 spacecraft formations

[0083]

[0084]

[0085] Depend on Figure 6 It can be seen that the algorithm can also be applied to the path planning problem of larger-scale spacecraft formation. Figure 7 This is the change graph of the fitness function with the number of iterations at this time. It can be seen that the algorithm still has good optimization characteristics at this time. Due to the increase in the scale of the problem, the number of iterations to converge to the final result has increased, and the time has been relatively extended. .

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

The invention discloses a PIO-based round orbital space vehicle formation reconfiguration type anti-collision path planning method, and belongs to the technical field of space vehicle attitude control. According to the algorithm, firstly, a spaceflight short-distance relative motion linear C-W equation is used for dynamics modeling; then, a space vehicle formation discrete dynamic equation is usedfor calculating the total fuel consumption of the space vehicle formation; an infinite series method is used for calculating the collision probability between the space vehicles; a corresponding fitness function is built through an exterior penalty function method; then, a self-adaptive geomagnetic factor coefficient is introduced; the original global search and local search capability of the deterrent algorithm is balanced; the flight optimization path considering the fuel consumption and avoiding collision is finally obtained. The algorithm is simple; the formation fuel consumption and collision avoidance factors between the space vehicles are considered under the condition of given initial and final space vehicle formation; the optimization of the space vehicle formation flight path isrealized.

Description

technical field [0001] The invention discloses a PIO (Pigeon-Inspired Optimization, pigeon-inspired optimization) circular orbit spacecraft formation reconfiguration anti-collision path planning method, belonging to the technical field of spacecraft attitude control. Background technique [0002] Satellite autonomous swarm formation flight has been proven as a feasible technology in NASA and U.S. Air Force missions. By using a formation composed of smaller and more agile spacecraft, the length of the observation baseline can be increased, and the redundancy and reconfiguration of the system can be improved, which is conducive to the realization of more demanding space missions and failures under harsher conditions. detection. Today, the focus on applications such as spacecraft interferometric ground imaging, spacecraft navigation and guidance, synthetic aperture radar and military reconnaissance makes the research on spacecraft formation technology more and more important. ...

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 Applications(China)
IPC IPC(8): G05D1/10
CPCG05D1/104
Inventor 华冰黄宇刘睿鹏段海滨吴云华陈志明
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products