A frequency domain approach for parameter identification in multibody dynamics

被引：0
|
作者：
Stefan Oberpeilsteiner
Thomas Lauss
Wolfgang Steiner
Karin Nachbagauer
机构：
[1] University of Applied Sciences Upper Austria,Faculty of Engineering and Environmental Sciences
[2] Vienna University of Technology,Institute of Mechanics and Mechatronics
来源：
Multibody System Dynamics | 2018年 / 43卷
关键词：
Parameter identification; Frequency domain; Multibody dynamics; Adjoint system; Optimization; Fourieranalysis; Window functions; Engine orders; Order analysis;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
The adjoint method shows an efficient way to incorporate inverse dynamics to engineering multibody applications, as, e.g., parameter identification. In case of the identification of parameters in oscillating multibody systems, a combination of Fourier analysis and the adjoint method is an obvious and promising approach. The present paper shows the adjoint method including adjoint Fourier coefficients for the parameter identification of the amplitude response of oscillations. Two examples show the potential and efficiency of the proposed method in multibody dynamics.
引用
收藏
页码：175 / 191
页数：16
相关论文
共 50 条
  • [41] Parameter identification of multibody vehicle models using neural networks
    Hobusch, Salim
    Nikelay, Ilker
    Nowakowski, Christine
    Woschke, Elmar
    MULTIBODY SYSTEM DYNAMICS, 2024, 61 (03) : 361 - 380
  • [42] Parameter identification of nonlinear multibody systems using correlation techniques
    Schiehlen, W
    Hu, B
    IUTAM SYMPOSIUM ON NONLINEARITY AND STOCHASTIC STRUCTURAL DYNAMICS, 2001, 85 : 261 - 270
  • [43] Modal parameter identification using signal decomposition in time-frequency domain
    Zhang, Zhiyi
    Xu, Xiuzhong
    Hua, Hongxing
    Huang, Zhen
    2002, Nanjing University of Aeronautics an Astronautics (15):
  • [44] Multibody Dynamics Techniques for Real-Time Parameter Estimation
    Sandu, Corina
    Kolansky, Jeremy
    Botha, Theunis
    Els, Schalk
    ADVANCED AUTONOMOUS VEHICLE DESIGN FOR SEVERE ENVIRONMENTS, 2015, 44 : 221 - 241
  • [45] Nonlinear Parameter Identification in Multibody Systems Using Homotopy Continuation
    Vyasarayani, Chandrika P.
    Uchida, Thomas
    McPhee, John
    JOURNAL OF COMPUTATIONAL AND NONLINEAR DYNAMICS, 2012, 7 (01):
  • [46] A frequency domain approach for local module identification in dynamic networks
    Ramaswamy, Karthik Raghavan
    Csurcsia, Peter Zoltan
    Schoukens, Johan
    Van den Hof, Paul M. J.
    AUTOMATICA, 2022, 142
  • [47] A frequency domain identification-control approach for a flexible aircraft
    Demourant, F
    Ferreres, G
    PROCEEDINGS OF THE 2002 IEEE INTERNATIONAL CONFERENCE ON CONTROL APPLICATIONS, VOLS 1 & 2, 2002, : 126 - 131
  • [48] A convex relaxation approach to real rational frequency domain identification
    van der Meché, E
    Bosgra, O
    PROCEEDINGS OF THE 41ST IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-4, 2002, : 252 - 257
  • [49] A frequency domain approach for blind identification with filter bank precoders
    Vaidyanathan, PP
    Vrcelj, B
    2004 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOL 3, PROCEEDINGS, 2004, : 349 - 352
  • [50] System Identification for Human Motion Control A frequency domain approach
    Vlaar, Martijn P.
    Schouten, Alfred C.
    Schouten, Alfred C.
    2015 IEEE INTERNATIONAL INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE (I2MTC), 2015, : 600 - 605
12345