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Identification of the state-space model and payload mass parameter of a flexible space manipulator using a recursive subspace tracking method

机译:递归子空间跟踪方法识别柔性空间机械臂的状态空间模型和有效载荷质量参数

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摘要

The on-orbit parameter identification of a space structure can be used for the modifica-tion of a system dynamics model and controller coefficients. This study focuses on the estimation of a system state-space model for a two-link space manipulator in the procedure of capturing an unknown object, and a recursive tracking approach based on the recursive predictor-based subspace identification (RPBSID) algorithm is proposed to identify the manipulator payload mass parame-ter. Structural rigid motion and elastic vibration are separated, and the dynamics model of the space manipulator is linearized at an arbitrary working point (i.e., a certain manipulator configuration). The state-space model is determined by using the RPBSID algorithm and matrix transformation. In addition, utilizing the identified system state-space model, the manipulator payload mass parameter is estimated by extracting the corresponding block matrix. In numerical simulations, the presented parameter identification method is implemented and compared with the classical algebraic algo-rithm and the recursive least squares method for different payload masses and manipulator config-urations. Numerical results illustrate that the system state-space model and payload mass parameter of the two-link flexible space manipulator are effectively identified by the recursive subspace track-ing method.
机译:空间结构的在轨参数识别可用于系统动力学模型和控制器系数的修改。这项研究的重点是在捕获未知对象的过程中估计两连杆空间机械手的系统状态空间模型,并提出了一种基于基于递归预测子空间识别(RPBSID)算法的递归跟踪方法。识别机械手的有效载荷质量参数。结构刚性运动和弹性振动是分开的,并且空间操纵器的动力学模型在任意工作点(即特定操纵器配置)处线性化。通过使用RPBSID算法和矩阵变换来确定状态空间模型。另外,利用识别出的系统状态空间模型,通过提取相应的块矩阵来估计操纵器有效载荷质量参数。在数值模拟中,实现了所提出的参数识别方法,并将其与经典代数算法和递归最小二乘方法用于不同的有效载荷质量和机械手配置进行了比较。数值结果表明,采用递归子空间跟踪方法可以有效地识别两连杆柔性空间机械臂的系统状态空间模型和有效载荷质量参数。

著录项

  • 来源
    《中国航空学报(英文版)》 |2019年第2期|513-530|共18页
  • 作者单位

    State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China;

    State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China;

    State Key Laboratory of Structural Analysis for Industrial Equipment, School of Aeronautics and Astronautics, Dalian University of Technology, Dalian 116024, China;

    State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China;

  • 收录信息 中国科学引文数据库(CSCD);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
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  • 入库时间 2024-01-27 08:28:32
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