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    Laser beam pointing and stabilization by fractional-order PID control: Tuning rule and experiments

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    LBS_paper_CCTA_2017_vf.pdf
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    Type
    Conference Paper
    Authors
    Al-Alwan, Asem Ibrahim Alwan
    Guo, Xingang
    Ndoye, Ibrahima
    Laleg-Kirati, Taous-Meriem cc
    KAUST Department
    Computational Bioscience Research Center (CBRC)
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering Program
    Date
    2017-10-24
    Online Publication Date
    2017-10-24
    Print Publication Date
    2017-08
    Permanent link to this record
    http://hdl.handle.net/10754/625953
    
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    Abstract
    This paper studies the problem of high-precision positioning of laser beams by using a robust Fractional-Order Proportional-Integral-Derivative (FOPID) controller. The control problem addressed in laser beams aims to maintain the position of the laser beam on a Position Sensing Device (PSD) despite the effects of noise and active disturbances. The FOPID controller is well known for its simplicity with better tuning flexibility along with robustness to noise and output disturbance rejections. Thus, a control strategy based on FOPID to achieve the control objectives has been proposed. The FOPID gains and differentiation orders are optimally tuned in order to fulfill the robustness design specifications by solving a nonlinear optimization problem. A comparison to the conventional Proportional-Integral-Derivative (PID) and robust PID is also provided from simulation and experiment set-up. Due to sensor noise, practical PID controllers that filter the position signal before taking the derivative have been also proposed. Experimental results show that the requirements are totally met for the laser beam platform to be stabilized.
    Citation
    Al-Alwan A, Guo X, N’Doye I, Laleg-Kirati T-M (2017) Laser beam pointing and stabilization by fractional-order PID control: Tuning rule and experiments. 2017 IEEE Conference on Control Technology and Applications (CCTA). Available: http://dx.doi.org/10.1109/ccta.2017.8062699.
    Sponsors
    Research reported in this publication has been supported by the King Abdullah University of Science and Technology (KAUST).
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    2017 IEEE Conference on Control Technology and Applications (CCTA)
    DOI
    10.1109/ccta.2017.8062699
    Additional Links
    http://ieeexplore.ieee.org/document/8062699/
    ae974a485f413a2113503eed53cd6c53
    10.1109/ccta.2017.8062699
    Scopus Count
    Collections
    Conference Papers; Electrical and Computer Engineering Program; Computational Bioscience Research Center (CBRC); Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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