Simulation and ground testing with the AVGS

Howard, Richard T.; Johnston, Albert S.; Bryan, Thomas C.; Book, Michael L.

doi:10.1117/12.604132

Cited by 3 publications

(2 citation statements)

References 3 publications

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“…Autonomous rendezvous and docking (as shown in Fig. 1) is the key support technology for on-orbit assembly of large spacecraft, regular rotation of the astronaut in space station, goods and fuel supply [1,2,3]. Cleaning space debris and completely failed satellites can purify the orbital environment, avoid wasting orbital resources, and improve the security of satellite transit.…”

Section: Introductionmentioning

confidence: 99%

Laser Stereo Vision-Based Position and Attitude Detection of Non-Cooperative Target for Space Application

Zhang

Fei

et al. 2014

AMR

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Vision measurement for non-cooperative targets in space is an essential technique in space counterwork, fragment disposal, satellite on-orbit service, spacecraft rendezvous, because the position and attitude of the target aircraft or the object should be detected first of all in the process. The 2D passive camera loses the depth information and can not measure the position and attitude of non-cooperative target. Several kinds of range imaging methods are alternatives. The traditional triangulation method can provide very high precision range measurement at close range but the nature of the triangulation geometry means that the uncertainty grows when the range increases. Laser radar (LIDAR) based on TOF (time of flight) or phase difference principle is suitable for middle and long range, but it can not fit for short range. A novel structure system is put forward, in which a so-called synchronous scanning triangulation method is adopted combining a LIDAR system. The synchronous scanning triangulation system plays a role at the range from 0.5m to 10m for object’s attitude, and the LIDAR system plays a role at the range from 10m to 200m for object’s position (direction and range).They are merged into one path, and do not influence each other because of using two different wavelengths respectively. This mechanism makes the system more compact and less weight. The system performances, such as the measurement range and precision, are analyzed according to the system parameters. The principle prototype is designed and established, and the experimental results confirm that its performance is promising and can satisfy the requirement for space application.

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Section: Introductionmentioning

confidence: 99%

Laser Stereo Vision-Based Position and Attitude Detection of Non-Cooperative Target for Space Application

Zhang

Fei

et al. 2014

AMR

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“…For instance, [10] and [11] described the composition of the pose measuring system in video guidance sensor (VGS). A physical map of multiple path beyond line of sight communication was introduced in [12] and [13]. The feature points in the measurement were extracted using the foreground image minus the background image.…”

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confidence: 99%

Precise Measurement of Position and Attitude Based on Convolutional Neural Network and Visual Correspondence Relationship

Yang

Man

Meng

et al. 2020

IEEE Trans. Neural Netw. Learning Syst.

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Accurate measurement of position and attitude information is particularly important. Traditional measurement methods generally require high-precision measurement equipment for analysis, leading to high costs and limited applicability. Vision-based measurement schemes need to solve complex visual relationships. With the extensive development of neural networks in related fields, it has become possible to apply them to the object position and attitude. In this paper, we propose an object pose measurement scheme based on convolutional neural network and we have successfully implemented end-toend position and attitude detection. Furthermore, to effectively expand the measurement range and reduce the number of training samples, we demonstrated the independence of objects in each dimension and proposed subadded training programs. At the same time, we generated generating image encoder to guarantee the detection performance of the training model in practical applications.

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Orbit and control design for forming and keeping fly-around

Guo

Yao

2009

2009 Chinese Control and Decision Conference

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This paper presents the orbit and controller design for spacecraft to approach and fly around a target in the circular orbit. Discussed in the Local-Vertical-Local-Horizontal (LVLH) frame, the process of forming and keeping relative fly-around motion is divided into three phases: the parking phase, the homing phase and the fly-around phase. In the parking phase, the main tasks include seeking the target, the transition from ground navigation to self-navigation and the amendment of transition orbit. In the homing phase, the chaser is guided to the target's orbit as a co-orbital satellite. In the fly-around phase, the chaser is guided and to fly around the target in a required orbit satisfying certain task demands. Once the task is completed, the chaser stays in the target's orbit as a co-orbital satellite and turns into dormancy state. The LQR controllers are designed based on the classical Clohessy-Wiltshire equations. Besides, control trigger and shutter are designed. In the end, design example and simulation are given. Analysis of the result indicates that the orbit and control design are practical and valid.

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Simulation and ground testing with the AVGS

Cited by 3 publications

References 3 publications

Laser Stereo Vision-Based Position and Attitude Detection of Non-Cooperative Target for Space Application

Laser Stereo Vision-Based Position and Attitude Detection of Non-Cooperative Target for Space Application

Precise Measurement of Position and Attitude Based on Convolutional Neural Network and Visual Correspondence Relationship

Orbit and control design for forming and keeping fly-around

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