Extended Kalman Filter Based Linear Quadratic Regulator Control for Optical Wireless Communication Alignment

High-precision positioning of two underwater mobile robots based on laser beams alignment has been investigated in this work. Usually, the control problem addressed in laser beams aims to maintain the position of the receiver robot aligned with the transmitter robot despite the effects of noise and...

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Main Authors: Asem Alalwan, Tadjine Mohamed, Messaoud Chakir, Taous Meriem Laleg
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Photonics Journal
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Online Access:https://ieeexplore.ieee.org/document/9257016/
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author Asem Alalwan
Tadjine Mohamed
Messaoud Chakir
Taous Meriem Laleg
author_facet Asem Alalwan
Tadjine Mohamed
Messaoud Chakir
Taous Meriem Laleg
author_sort Asem Alalwan
collection DOAJ
description High-precision positioning of two underwater mobile robots based on laser beams alignment has been investigated in this work. Usually, the control problem addressed in laser beams aims to maintain the position of the receiver robot aligned with the transmitter robot despite the effects of noise and active disturbances. In this paper, a new state space model is proposed. The latter is more precise than the usual used two state space model [1]. Furthermore, an estimation based control strategy using Extended Kalman Filter Estimator (EKF) and Linear Quadratic Regulator (LQR) is proposed to achieve the control objectives. LQR controller is well known as optimal control design with better tuning flexibility along with intrinsic robustness properties such as noise and output disturbance rejections. The achieved performance of the proposed controller is compared to the conventional proportional (P), Proportional-Integral-Derivative (PID) and Proportional-Integral (PI) controller to analyze the improvements and stability. In addition, an investigation of a sensitivity analysis is conducted to show robustness with different process noise variances of LQR controller.
format Article
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institution Kabale University
issn 1943-0655
language English
publishDate 2020-01-01
publisher IEEE
record_format Article
series IEEE Photonics Journal
spelling doaj-art-b3762a2324d6403fb18c93cb84b2b96f2025-08-20T03:30:52ZengIEEEIEEE Photonics Journal1943-06552020-01-0112611210.1109/JPHOT.2020.30372239257016Extended Kalman Filter Based Linear Quadratic Regulator Control for Optical Wireless Communication AlignmentAsem Alalwan0https://orcid.org/0000-0001-7671-143XTadjine Mohamed1Messaoud Chakir2Taous Meriem Laleg3https://orcid.org/0000-0001-5944-0121King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi ArabiaControl Systems and Applied Mathematics, National Polytechnic School ENP of Algiers. 10, St Hacen Badi, El Harrach, Algiers, AlgeriaControl Systems and Applied Mathematics, National Polytechnic School ENP of Algiers. 10, St Hacen Badi, El Harrach, Algiers, AlgeriaKing Abdullah University of Science and Technology (KAUST), Thuwal, Saudi ArabiaHigh-precision positioning of two underwater mobile robots based on laser beams alignment has been investigated in this work. Usually, the control problem addressed in laser beams aims to maintain the position of the receiver robot aligned with the transmitter robot despite the effects of noise and active disturbances. In this paper, a new state space model is proposed. The latter is more precise than the usual used two state space model [1]. Furthermore, an estimation based control strategy using Extended Kalman Filter Estimator (EKF) and Linear Quadratic Regulator (LQR) is proposed to achieve the control objectives. LQR controller is well known as optimal control design with better tuning flexibility along with intrinsic robustness properties such as noise and output disturbance rejections. The achieved performance of the proposed controller is compared to the conventional proportional (P), Proportional-Integral-Derivative (PID) and Proportional-Integral (PI) controller to analyze the improvements and stability. In addition, an investigation of a sensitivity analysis is conducted to show robustness with different process noise variances of LQR controller.https://ieeexplore.ieee.org/document/9257016/Control designextended kalman filter (EKF)linear quadratic regulator (LQR)underwater wireless optical communication (UWOC)
spellingShingle Asem Alalwan
Tadjine Mohamed
Messaoud Chakir
Taous Meriem Laleg
Extended Kalman Filter Based Linear Quadratic Regulator Control for Optical Wireless Communication Alignment
IEEE Photonics Journal
Control design
extended kalman filter (EKF)
linear quadratic regulator (LQR)
underwater wireless optical communication (UWOC)
title Extended Kalman Filter Based Linear Quadratic Regulator Control for Optical Wireless Communication Alignment
title_full Extended Kalman Filter Based Linear Quadratic Regulator Control for Optical Wireless Communication Alignment
title_fullStr Extended Kalman Filter Based Linear Quadratic Regulator Control for Optical Wireless Communication Alignment
title_full_unstemmed Extended Kalman Filter Based Linear Quadratic Regulator Control for Optical Wireless Communication Alignment
title_short Extended Kalman Filter Based Linear Quadratic Regulator Control for Optical Wireless Communication Alignment
title_sort extended kalman filter based linear quadratic regulator control for optical wireless communication alignment
topic Control design
extended kalman filter (EKF)
linear quadratic regulator (LQR)
underwater wireless optical communication (UWOC)
url https://ieeexplore.ieee.org/document/9257016/
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AT tadjinemohamed extendedkalmanfilterbasedlinearquadraticregulatorcontrolforopticalwirelesscommunicationalignment
AT messaoudchakir extendedkalmanfilterbasedlinearquadraticregulatorcontrolforopticalwirelesscommunicationalignment
AT taousmeriemlaleg extendedkalmanfilterbasedlinearquadraticregulatorcontrolforopticalwirelesscommunicationalignment