Autonomous global navigation chart (GNC) simulation test system based on optical and inertial combined measurement

A technology of inertial combination and test system, which is applied in the field of physical simulation of autonomous navigation and control of deep space spacecraft, can solve the problems of not being able to adapt to the ground simulation verification of autonomous navigation and control schemes, and the difficulty of guaranteeing the validity and authenticity of the simulation, achieving the goal of testing Strong operability, real and reliable simulation, good real-time effects

Active Publication Date: 2013-03-27
BEIJING INST OF CONTROL ENG
View PDF2 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The existing autonomous navigation and control mathematical simulation methods can no longer meet the needs of ground simulation verification of autonomous navigation and control schemes. All signal simulations are generated

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
  • Autonomous global navigation chart (GNC) simulation test system based on optical and inertial combined measurement

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0020] The specific embodiments of the present invention will be described in further detail below in conjunction with the accompanying drawings.

[0021] The invention provides an autonomous GNC test verification system based on optical and inertial combined measurement, which realizes the simulation of the shape and size of navigation celestial bodies and the geometric relationship of stars, the simulation of the attitude movement of deep space spacecraft, and enhances the autonomous navigation of deep space spacecraft Verifies the authenticity and reliability of ground simulation with control technology.

[0022] Such as figure 1 Shown are the system components of the present invention, including integrated sensor, dynamic celestial body and star simulator, GNC module, dynamic simulation and environmental simulation module, radio speed and ranging simulator, simulation master control module and three-axis turntable;

[0023] The dynamic celestial body and stellar simulator realiz...

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 an autonomous global navigation chart (GNC) simulation test system based on optical and inertial combined measurement. The autonomous GNC simulation test system comprises an integrated sensor, a dynamic celestial body and fixed star simulator, a GNC module, a dynamics simulation and environmental simulation module, a radio velocity measurement and ranging simulator, a simulation master control module and a three-axis turntable. The integrated sensor is introduced into the simulation test system, the attitude motion of a spacecraft is realized by employing the three-axis turntable, the dynamic characteristics and spatial environmental disturbance of a deep space spacecraft are simulated by employing the dynamics simulation and environmental simulation module, and the dynamics and external environmental characteristics of the deep space spacecraft are really and reliably simulated.

Description

technical field [0001] The invention relates to an autonomous GNC simulation test system based on combined optical and inertial measurement, and belongs to the field of physical simulation of autonomous navigation and control of deep space spacecraft. Background technique [0002] At present, deep space autonomous navigation is mainly realized by means of astronomical navigation. The basic principle is to estimate the position and velocity information of deep space spacecraft through calculation based on optical imaging of navigation celestial bodies. Because celestial navigation relies solely on angle information relative to celestial bodies, the positioning accuracy is low and it is difficult to meet the needs of the development of deep space exploration. [0003] Optical and inertial combined measurement introduces inertial devices based on traditional optical sensors, which can not only measure the position information of the spacecraft but also the attitude information ...

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
IPC IPC(8): G01C25/00
Inventor 黄翔宇唐强王大轶朱志斌褚永辉张晓文
Owner BEIJING INST OF CONTROL ENG
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