An extremum seeking control based approach for alignment problem of mobile optical communication systems
KAUST DepartmentKing Abdullah University of Science and Technology (KAUST),Thuwal 23955-6900, Saudi Arabia
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Electrical Engineering Program
Computational Bioscience Research Center (CBRC)
KAUST Grant NumberBAS/1/1627-01-01
Permanent link to this recordhttp://hdl.handle.net/10754/669306
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AbstractOptical wireless communication (OWC) has proliferated a wide range of applications in many fields due to its advantages of low-cost, high bandwidth, etc. However, the strict alignment requirements of widely used line-of-sight (LOS) deployments are challenging to be achieved, especially for those moving optical communication systems. In this paper, we propose an extremum seeking control based control strategy to solve the alignment problem for mobile optical communication systems. Our proposed approach consists of two steps: coarse alignment and fine alignment, both rely on the measurements from the vision sensor Pixy2. The coarse alignment uses a feedback proportional-derivative (PD) control and is responsible for tracking and following the receiver. The objective of the fine alignment is to get rid of the effects of any static or dynamic disturbances. The perturbation-based extremum seeking control (ESC) is adopted for a continuous search for the optimal position, where the received optical power is maximum in the presence of disturbance. The proposed approach is simple, effective, and easy to implement.
CitationCai, W., Alhashim, A. N., N’Doye, I., & Laleg-Kirati, T. M. (2020). An Extremum Seeking Control Based Approach for Alignment Problem of Mobile Optical Communication Systems. IFAC-PapersOnLine, 53(2), 5368–5374. doi:10.1016/j.ifacol.2020.12.1519
SponsorsThis work has been supported by the King Abdullah University of Science and Technology (KAUST) Base Research Fund (BAS/1/1627-01-01) to Taous Meriem Laleg.
Conference/Event name21st IFAC World Congress 2020
Except where otherwise noted, this item's license is described as This is an open access article under the CC BY-NC-ND license. Peer review under responsibility of International Federation of Automatic Control.