Non-Contact Measurement and Identification Method of Large Flexible Space Structures in Low Characteristic Scenes

The end-operation accuracy of the satellite-borne robotic arm is closely related to the satellite attitude control accuracy, and the influence of the vibration of the satellite’s flexural structure on the satellite attitude control is not negligible. Therefore, a stable and reliable vibration freque...

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Main Authors: Tianming Cheng, Xiaolei Jiao, Zeming Zhang, Qiang Bi, Cheng Wei
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/23/4/1878
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author Tianming Cheng
Xiaolei Jiao
Zeming Zhang
Qiang Bi
Cheng Wei
author_facet Tianming Cheng
Xiaolei Jiao
Zeming Zhang
Qiang Bi
Cheng Wei
author_sort Tianming Cheng
collection DOAJ
description The end-operation accuracy of the satellite-borne robotic arm is closely related to the satellite attitude control accuracy, and the influence of the vibration of the satellite’s flexural structure on the satellite attitude control is not negligible. Therefore, a stable and reliable vibration frequency identification method of the satellite flexural structure is needed. Different from the traditional non-contact measurement and identification methods of large flexible space structures based on marker points or edge corner points, the condition of non-marker points relying on texture features can identify more feature points, but there are problems such as low recognition and poor matching of features. Given this, the concept of ‘the comprehensive matching parameter’ of scenes is proposed to describe the scene characteristics of non-contact optical measurement from the two dimensions of recognition and matching. The basic connotation and evaluation index of the concept are also given in the paper. Guided by this theory, the recognition accuracy and matching uniqueness of features can be improved by means of equivalent spatial transformation and novel relative position relationship descriptor. The above problems in non-contact measurement technology can be solved only through algorithm improvement without adding hardware devices. On this basis, the Eigensystem Realization Algorithm (ERA) method is used to obtain the modal parameters of the large flexible space structure. Finally, the effectiveness and superiority of the proposed method are verified by mathematical simulation and ground testing.
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spelling doaj.art-6fcc115154164e12a7c6f541bb5d8f072023-11-16T23:07:20ZengMDPI AGSensors1424-82202023-02-01234187810.3390/s23041878Non-Contact Measurement and Identification Method of Large Flexible Space Structures in Low Characteristic ScenesTianming Cheng0Xiaolei Jiao1Zeming Zhang2Qiang Bi3Cheng Wei4School of Astronautics, Harbin Institute of Technology, Harbin 150001, ChinaSchool of Aeronautics and Astronautics, Sun Yat-Sen University, Guangzhou 510275, ChinaSchool of Astronautics, Harbin Institute of Technology, Harbin 150001, ChinaBeijing Institute of Control Engineering, Beijing 100190, ChinaSchool of Astronautics, Harbin Institute of Technology, Harbin 150001, ChinaThe end-operation accuracy of the satellite-borne robotic arm is closely related to the satellite attitude control accuracy, and the influence of the vibration of the satellite’s flexural structure on the satellite attitude control is not negligible. Therefore, a stable and reliable vibration frequency identification method of the satellite flexural structure is needed. Different from the traditional non-contact measurement and identification methods of large flexible space structures based on marker points or edge corner points, the condition of non-marker points relying on texture features can identify more feature points, but there are problems such as low recognition and poor matching of features. Given this, the concept of ‘the comprehensive matching parameter’ of scenes is proposed to describe the scene characteristics of non-contact optical measurement from the two dimensions of recognition and matching. The basic connotation and evaluation index of the concept are also given in the paper. Guided by this theory, the recognition accuracy and matching uniqueness of features can be improved by means of equivalent spatial transformation and novel relative position relationship descriptor. The above problems in non-contact measurement technology can be solved only through algorithm improvement without adding hardware devices. On this basis, the Eigensystem Realization Algorithm (ERA) method is used to obtain the modal parameters of the large flexible space structure. Finally, the effectiveness and superiority of the proposed method are verified by mathematical simulation and ground testing.https://www.mdpi.com/1424-8220/23/4/1878feature point matchinglarge flexible space structuresnon-contact measurementmodal parameter identificationlow characteristic scenes
spellingShingle Tianming Cheng
Xiaolei Jiao
Zeming Zhang
Qiang Bi
Cheng Wei
Non-Contact Measurement and Identification Method of Large Flexible Space Structures in Low Characteristic Scenes
Sensors
feature point matching
large flexible space structures
non-contact measurement
modal parameter identification
low characteristic scenes
title Non-Contact Measurement and Identification Method of Large Flexible Space Structures in Low Characteristic Scenes
title_full Non-Contact Measurement and Identification Method of Large Flexible Space Structures in Low Characteristic Scenes
title_fullStr Non-Contact Measurement and Identification Method of Large Flexible Space Structures in Low Characteristic Scenes
title_full_unstemmed Non-Contact Measurement and Identification Method of Large Flexible Space Structures in Low Characteristic Scenes
title_short Non-Contact Measurement and Identification Method of Large Flexible Space Structures in Low Characteristic Scenes
title_sort non contact measurement and identification method of large flexible space structures in low characteristic scenes
topic feature point matching
large flexible space structures
non-contact measurement
modal parameter identification
low characteristic scenes
url https://www.mdpi.com/1424-8220/23/4/1878
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AT xiaoleijiao noncontactmeasurementandidentificationmethodoflargeflexiblespacestructuresinlowcharacteristicscenes
AT zemingzhang noncontactmeasurementandidentificationmethodoflargeflexiblespacestructuresinlowcharacteristicscenes
AT qiangbi noncontactmeasurementandidentificationmethodoflargeflexiblespacestructuresinlowcharacteristicscenes
AT chengwei noncontactmeasurementandidentificationmethodoflargeflexiblespacestructuresinlowcharacteristicscenes