Please use this identifier to cite or link to this item: https://hdl.handle.net/11499/36972
Title: Active fault tolerant control for high-precision positioning of a non-contact mode uncertain atomic force microscopy
Authors: Çetin, Meriç
Beyhan, Selami
Keywords: Atomic force microscopy
EKF
fault tolerant control
joint state and parameter estimation
NMPC
noise disturbance
UKF
End effectors
Fault tolerance
Kalman filters
Parameter estimation
Uncertainty analysis
Active fault tolerant control
Extended Kalman filtering
Fault tolerant controllers
High precision positioning
Model based controller design
Model predictive controllers
Unscented Kalman Filter
Unscented Kalman filtering
Controllers
Publisher: SAGE Publications Ltd
Abstract: A non-contact mode atomic force microscope with chaotic dynamics may exposed to unknown faults, disturbances or uncertain parameters that are not always be compensated using classical control methods. Therefore, a fault tolerant controller must be designed for accurate tracking of the tip-position of the end-effector. In this paper, first, an unscented Kalman filter is designed for joint estimation of the states and parameters for an atomic force microscopy under process noise. The velocity of the end-effector, sample height and unknown fault are simultaneously estimated by measuring the tip position of randomly excited microscopy. Second, unscented Kalman filtering based model predictive controller is proposed for the accurate tracking of the tip-position. To prevent the disadvantage of the model-based controller design, an uncertainty or unknown fault function of the system is estimated by unscented Kalman filter such that the unmodeled dynamics of the system are compensated while the control signal is produced. Note that the controller voltage being applied to the microscopy is produced based on the estimated states and parameters of the atomic force microscopy. The numerical applications present that satisfactory tracking performance for tip position is obtained by the proposed fault tolerant controller such that extended Kalman filtering-based tracking results are also compared and discussed. © The Author(s) 2020.
URI: https://hdl.handle.net/11499/36972
https://doi.org/10.1177/0142331220923771
ISSN: 0142-3312
Appears in Collections:Mühendislik Fakültesi Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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