Title :
High-Speed AFM Image Scanning Using Observer-Based MPC-Notch Control
Author :
Rana, M.S. ; Pota, Hemanshu R. ; Petersen, Ian R.
Author_Institution :
Sch. of Eng. & Inf. Technol., Univ. of New South Wales, Canberra, ACT, Australia
Abstract :
This paper presents the design and experimental implementation of an observer-based model predictive control scheme with a notch filter to achieve accurate tracking and fast scanning for an atomic force microscope (AFM). The proposed controller reduces the tracking error by improving the damping of the resonant modes of the AFM piezoelectric tube scanner (PTS). The design of this controller is based on an identified model of the PTS. A Kalman filter is used to obtain full-state information in the presence of position sensor noise. A comparison of the experimentally obtained scanned images using the proposed controller and the existing AFM PI controller is given. The experimental results demonstrate the efficacy of the proposed controller.
Keywords :
Kalman filters; PI control; atomic force microscopy; control system synthesis; damping; image processing; notch filters; observers; physical instrumentation control; predictive control; sensors; AFM PI controller; Kalman filter; atomic force microscope piezoelectric tube scanner; high-speed AFM image scanning; notch filter; observer-based MPC-notch control; observer-based model predictive control scheme; position sensor noise; resonant modes; tracking error; Creep; Electrodes; Electron tubes; Hysteresis; Noise; Observers; Predictive models; Atomic force microscope (AFM); model predictive control; notch filter; piezoelectric tube scanner (PTS); system identification;
Journal_Title :
Nanotechnology, IEEE Transactions on
DOI :
10.1109/TNANO.2013.2243752