Intelligent Proportional-Integral-Derivative Control-Based Modulating Functions for Laser Beam Pointing and Stabilization
Al-Alwan, Asem Ibrahim Alwan
KAUST DepartmentComputational Bioscience Research Center (CBRC)
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Electrical Engineering Program
Estimation, Modeling and ANalysis Group
Online Publication Date2019-01-14
Print Publication Date2020-05
Permanent link to this recordhttp://hdl.handle.net/10754/631220
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AbstractThis paper studies the problem of high-precision positioning of laser beams using an intelligent proportional-integral-derivative (i-PID) controller. The control problem addressed in laser beams aims at maintaining the position of the laser beam on a position sensing device under the effects of noise and active disturbances. The design of an i-PID control is based on the so-called ultralocal model. The i-PID controller has been implemented and validated on a real test bench. For the sake of enhancing the performance of the closed loop, it has been combined with a nonasymptotic and robust modulating function-based estimation method, which is used to estimate the unmodeled dynamics and disturbances. The proposed i-PID controller has shown good performance in handling the active disturbances and uncertainties present in the platform. A comparison to the classical PID and robust PID is also provided based on the experimental setup. Robustness tests are performed experimentally to show the effectiveness of the i-PID control.
CitationN’Doye I, Asiri S, Aloufi A, Al-Awan A, Laleg-Kirati T-M (2019) Intelligent Proportional-Integral-Derivative Control-Based Modulating Functions for Laser Beam Pointing and Stabilization. IEEE Transactions on Control Systems Technology: 1–8. Available: http://dx.doi.org/10.1109/tcst.2018.2884197.
SponsorsThe authors would like to thank A. Chahid for useful discussions concerning the real-time implementation of i-PID controller using MFBM and the anonymous reviewers for their valuable remarks that helped improve this paper.
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