On the identifiability of inertia parameters of planar Multi-Body Space Systems

被引:6
作者
Nabavi-Chashmi, Seyed Yaser [1 ]
Malaek, Seyed Mohammad-Bagher [1 ]
机构
[1] Sharif Univ Technol, Dept Aerosp, Tehran, Iran
关键词
Space robotics; Inertia parameters; Parameter identification; Multi-body system dynamics; IDENTIFICATION; DYNAMICS; REMOVAL; ROBOT;
D O I
10.1016/j.actaastro.2018.01.047
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
This work describes a new formulation to study the identifiability characteristics of Serially Linked Multi-body Space Systems (SLMBSS). The process exploits the so called "Lagrange Formulation" to develop a linear form of Equations of Motion w.r.t the system Inertia Parameters (IPs). Having developed a specific form of regressor matrix, we aim to expedite the identification process. The new approach allows analytical as well as numerical identification and identifiability analysis for different SLMBSSs' configurations. Moreover, the explicit forms of SLMBSSs identifiable parameters are derived by analyzing the identifiability characteristics of the robot. We further show that any SLMBSS designed with Variable Configurations Joint allows all IPs to be identifiable through comparing two successive identification outcomes. This feature paves the way to design new class of SLMBSS for which accurate identification of all IPs is at hand. Different case studies reveal that proposed formulation provides fast and accurate results, as required by the space applications. Further studies might be necessary for cases where planar-body assumption becomes inaccurate.
引用
收藏
页码:199 / 215
页数:17
相关论文
共 50 条
[41]   Validation of Multi-Body Modelling Methodology for Reconfigurable Underwater Robots [J].
Nielsen, M. C. ;
Eidsvik, O. A. ;
Blanke, M. ;
Schjolberg, I. .
OCEANS 2016 MTS/IEEE MONTEREY, 2016,
[42]   Multi-body simulation with notch stress analysis of an axle assembly [J].
Kumar, Suresh G. ;
Kumaraswamidhas, L. A. .
MECHANICS BASED DESIGN OF STRUCTURES AND MACHINES, 2023, 51 (09) :5299-5317
[43]   REAL-TIME MULTI-BODY SOFTWARE FOR HIL SIMULATIONS [J].
Righettini, Paolo ;
Oldani, Alberto .
PROCEEDINGS OF THE ASME INTERNATIONAL MECHANICAL ENGINEERING CONGRESS AND EXPOSITION 2010, VOL 11, 2012, :125-132
[44]   Modal Analysis and Flight Validation of Compound Multi-Body Aircraft [J].
Zhu, Entong ;
Zhou, Zhou ;
Li, Huida .
AEROSPACE, 2023, 10 (05)
[45]   Vibrating Simulation of Diesel Engine Based on Multi-body Dynamics [J].
Shao, Kang ;
Liu, Changwen ;
Bi, Fengrong ;
Du, Xianfeng ;
Wang, Xia ;
Zhang, Junhong .
ADVANCED TRANSPORTATION, PTS 1 AND 2, 2011, 97-98 :706-711
[46]   Constitutively informed multi-body interactions for lattice particle models [J].
Uchimali, Mahendaran ;
Rao, Balkrishna C. ;
Vedantam, Srikanth .
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2020, 366
[47]   Fast Multi-Body Simulations of Robots Controlled with Error Feedback [J].
Shepherd, John ;
Zapolsky, Samuel ;
Drumwright, Evan M. .
2016 IEEE INTERNATIONAL CONFERENCE ON SIMULATION, MODELING, AND PROGRAMMING FOR AUTONOMOUS ROBOTS (SIMPAR), 2016, :232-237
[48]   Development of a measurement robot for identifying all inertia parameters of a rigid body in a single experiment [J].
Hahn, H ;
Niebergall, M .
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2001, 9 (02) :416-423
[49]   A method for capturing small body in close proximity multi-body tethered spacecraft formations [J].
Yang, Yu ;
Huang, YiXin ;
Zhang, HuiBo ;
Tian, Hao ;
Zhao, Yang .
SCIENTIA SINICA-PHYSICA MECHANICA & ASTRONOMICA, 2024, 54 (03)
[50]   A new trifilar pendulum approach to identify all inertia parameters of a rigid body or assembly [J].
Zhi-Chao, Hou ;
Yi-ning, Lu ;
Yao-xin, Lao ;
Dan, Liu .
MECHANISM AND MACHINE THEORY, 2009, 44 (06) :1270-1280