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Jun. 2021
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Xu Yang, Ming Zhang, Rong Cheng, Yu Zhu, Leijie Wang. Wafer Stage Modal Model Identification by Modified Vector Fitting Method[J]. JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2021, 30(zk): 187-195. doi: 10.15918/j.jbit1004-0579.20052
Citation: Xu Yang, Ming Zhang, Rong Cheng, Yu Zhu, Leijie Wang. Wafer Stage Modal Model Identification by Modified Vector Fitting Method[J].JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2021, 30(zk): 187-195.doi:10.15918/j.jbit1004-0579.20052

Wafer Stage Modal Model Identification by Modified Vector Fitting Method

doi:10.15918/j.jbit1004-0579.20052
Funds:the National Natural Science Foundation of China(51677104)
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  • Corresponding author:assistant professor, Ph.D. E-mail:chengr@tsinghua.edu.cn
  • Received Date:2020-05-29
  • Publish Date:2021-06-30
  • Vector fitting is modified in this study for the parametric identification of a model with an undamped rigid body mode in the frequency domain. The modal model of a six-degree-of-freedom (6DOF) wafer stage is identified using the modified vector fitting method. The modal model is typically fitted from the matrix fraction description (MFD) form of the transfer function, which increases the cost function. The vector fitting in frequency domain provides an approach to fitting the modal model directly from frequency response functions(FRFs) via a partial rational basis function, the poles of which can be obtained by pole relocation technology. The traditional vector fitting method is not applicable in identifying systems containing rigid body modes. The method is reformulated here and effectively applied for wafer stage identification. The accuracy of the fitted model is validated by control loop simulation.
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  • [1]
    Butler H. Position control in lithographic equipment: An enabler for current-day chip manufacturing [J]. IEEE Control Systems Magazine, 2011, 31(5): 28−47. doi:10.1109/MCS.2011.941882
    [2]
    Oomen T. Advanced motion control for precision mechatronics: Control, identification, and learning of complex systems [J]. IEEJ Journal of Industry Applications, 2018, 7(2): 127−140. doi:10.1541/ieejjia.7.127
    [3]
    Bruijnen D, Dijk N V. Combined input shaping and feedforward control for flexible motion systems[C]//Proceedings of the American Control Conference, 2012.
    [4]
    Butterworth J A, Pao L Y, Abramovitch D Y. Analysis and comparison of three discrete-time feedforward model-inverse control techniques for nonminimum-phase systems [J]. Mechatronics, 2012, 22(5): 577−587. doi:10.1016/j.mechatronics.2011.12.006
    [5]
    Heertjes M, Hennekens D, Engelen A V, et al. Dynamic decoupling in motion systems using a gradient approximation-based algorithm[C]//Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference, 2009: 5086-5091.
    [6]
    Herpen R V, Oomen T, Kikken E, et al. Exploiting additional actuators and sensors for nano-positioning robust motion control[C]//Proceedings of 2014 American Control Conference, 2014: 984-990.
    [7]
    Oomen T, Grassens E, Hendriks F. Inferential motion control: Identification and robust control framework for positioning an unmeasurable point of interest [J]. IEEE Transactions on Control Systems Technology, 2015, 23(4): 1602−1610. doi:10.1109/TCST.2014.2371830
    [8]
    Dorosti M, Fey R, Heertjes M, et al. Finite element model reduction and model updating of structures for control [J]. IFAC Proceedings Volumes, 2014, 47(3): 4517−4522. doi:10.3182/20140824-6-ZA-1003.01644
    [9]
    Balas G J, Doyle J C. Identification of flexible structures for robust control [J]. IEEE Control Systems Magazine, 1990, 10(4): 51−58. doi:10.1109/37.56278
    [10]
    Pintelon R, Guillaume P, Rolain Y, et al. Parametric identification of transfer functions in the frequency domain: A survey [J]. IEEE Transactions on Automatic Control, 1994, 39(11): 2245−2260. doi:10.1109/9.333769
    [11]
    Gilson M, Welsh J S, Garnier H. Frequency-domain instrumental variable based method for wide band system identification[C]//Proceedings of the American Control Conference, 2013.
    [12]
    Sanathanan C, Koerner J. Transfer function synthesis as a ratio of two complex polynomials [J]. IEEE Transactions on Automatic Control, 1963, 8(1): 56−58. doi:10.1109/TAC.1963.1105517
    [13]
    Whitfield A H. Asymptotic behaviour of transfer function synthesis methods [J]. International Journal of Control, 1987, 45(3): 1083−1092. doi:10.1080/00207178708933791
    [14]
    Blom R S, Hof M J V D. Multivariable frequency domain identification using IV-based linear regression[C]//Proceedings of the 49th IEEE Conference on Decision and Control, 2010: 1148-1153.
    [15]
    Gustavsen B, Semlyen A. Rational approximation of frequency domain responses by vector fitting [J]. IEEE Transactions on Power Delivery, 1999, 14(3): 1052−1061. doi:10.1109/61.772353
    [16]
    Gawronski W K. Dynamics and control of structures: A modal approach[M]. Berlin: Springer Science & Business Media, 2004.
    [17]
    Deschrijver D, Mrozowski M, Dhaene T, et al. Macromodeling of multiport systems using a fast implementation of the vector fitting method [J]. IEEE Microwave and Wireless Components Letters, 2008, 18(6): 383−385. doi:10.1109/LMWC.2008.922585
    [18]
    Gustavsen B. Computer code for rational approximation of frequency dependent admittance matrices [J]. IEEE Transactions on Power Delivery, 2002, 17(4): 1093−1098. doi:10.1109/TPWRD.2002.803829
    [19]
    Pintelon R, Schoukens J. System identification: A frequency domain approach[M]. 2nd ed. [S. l.]: Wiley-IEEE Press, 2012.
    [20]
    Voorhoeve R, Maas A V D, Oomen T. Non-parametric identification of multivariable systems: A local rational modeling approach with application to a vibration isolation benchmark [J]. Mechanical Systems & Signal Processing, 2018, 105: 129−152.
    [21]
    Monkhorst W. Dynamic error budgeting: A design approach[D]. Delft: Technische Universiteit Delft, 2004.
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