Adaptive Predictive Functional Control of X-Y Pedestal for LEO Satellite Tracking Using Laguerre Functions

In this paper, Predictive Functional Control (PFC) is used for X-Y pedestal control for LEO satellite tracking. According to the nonlinear characteristics of the X-Y pedestal and pedestal model variation caused by its operating point change, the use of system identification algorithm, which is based...

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Autores principales:	Reza Dadkhah Tehrani, Hadi Givi, Daniel-Eugeniu Crunteanu, Grigore Cican
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	adaptive predictive functional control (APFC) Laguerre functions LEO satellite tracking unstructured system identification X-Y pedestal Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
Acceso en línea:	https://doaj.org/article/ae7e19059e4d41cd9ca0551c5d57d6c5
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spelling	oai:doaj.org-article:ae7e19059e4d41cd9ca0551c5d57d6c52021-11-11T14:57:03ZAdaptive Predictive Functional Control of X-Y Pedestal for LEO Satellite Tracking Using Laguerre Functions10.3390/app112197942076-3417https://doaj.org/article/ae7e19059e4d41cd9ca0551c5d57d6c52021-10-01T00:00:00Zhttps://www.mdpi.com/2076-3417/11/21/9794https://doaj.org/toc/2076-3417In this paper, Predictive Functional Control (PFC) is used for X-Y pedestal control for LEO satellite tracking. According to the nonlinear characteristics of the X-Y pedestal and pedestal model variation caused by its operating point change, the use of system identification algorithm, which is based on special types of orthonormal functions known as Laguerre functions, is presented. This algorithm is combined with PFC to obtain a novel adaptive control algorithm entitled Adaptive Predictive Functional Control (APFC). In this combination, Laguerre functions are utilized for system identification, while the PFC is the control law. An interesting feature of the proposed algorithm is its desirable performance against the interference effect of channel X and channel Y. The proposed APFC algorithm is compared with Proportional Integral Derivative (PID) controller using simulation results. The results confirm that the proposed controller improves the performance in terms of the pedestal model variations; that is, the controller is capable of adapting to the model changes desirably.Reza Dadkhah TehraniHadi GiviDaniel-Eugeniu CrunteanuGrigore CicanMDPI AGarticleadaptive predictive functional control (APFC)Laguerre functionsLEO satellite trackingunstructured system identificationX-Y pedestalTechnologyTEngineering (General). Civil engineering (General)TA1-2040Biology (General)QH301-705.5PhysicsQC1-999ChemistryQD1-999ENApplied Sciences, Vol 11, Iss 9794, p 9794 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	adaptive predictive functional control (APFC) Laguerre functions LEO satellite tracking unstructured system identification X-Y pedestal Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
spellingShingle	adaptive predictive functional control (APFC) Laguerre functions LEO satellite tracking unstructured system identification X-Y pedestal Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999 Reza Dadkhah Tehrani Hadi Givi Daniel-Eugeniu Crunteanu Grigore Cican Adaptive Predictive Functional Control of X-Y Pedestal for LEO Satellite Tracking Using Laguerre Functions
description	In this paper, Predictive Functional Control (PFC) is used for X-Y pedestal control for LEO satellite tracking. According to the nonlinear characteristics of the X-Y pedestal and pedestal model variation caused by its operating point change, the use of system identification algorithm, which is based on special types of orthonormal functions known as Laguerre functions, is presented. This algorithm is combined with PFC to obtain a novel adaptive control algorithm entitled Adaptive Predictive Functional Control (APFC). In this combination, Laguerre functions are utilized for system identification, while the PFC is the control law. An interesting feature of the proposed algorithm is its desirable performance against the interference effect of channel X and channel Y. The proposed APFC algorithm is compared with Proportional Integral Derivative (PID) controller using simulation results. The results confirm that the proposed controller improves the performance in terms of the pedestal model variations; that is, the controller is capable of adapting to the model changes desirably.
format	article
author	Reza Dadkhah Tehrani Hadi Givi Daniel-Eugeniu Crunteanu Grigore Cican
author_facet	Reza Dadkhah Tehrani Hadi Givi Daniel-Eugeniu Crunteanu Grigore Cican
author_sort	Reza Dadkhah Tehrani
title	Adaptive Predictive Functional Control of X-Y Pedestal for LEO Satellite Tracking Using Laguerre Functions
title_short	Adaptive Predictive Functional Control of X-Y Pedestal for LEO Satellite Tracking Using Laguerre Functions
title_full	Adaptive Predictive Functional Control of X-Y Pedestal for LEO Satellite Tracking Using Laguerre Functions
title_fullStr	Adaptive Predictive Functional Control of X-Y Pedestal for LEO Satellite Tracking Using Laguerre Functions
title_full_unstemmed	Adaptive Predictive Functional Control of X-Y Pedestal for LEO Satellite Tracking Using Laguerre Functions
title_sort	adaptive predictive functional control of x-y pedestal for leo satellite tracking using laguerre functions
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/ae7e19059e4d41cd9ca0551c5d57d6c5
work_keys_str_mv	AT rezadadkhahtehrani adaptivepredictivefunctionalcontrolofxypedestalforleosatellitetrackingusinglaguerrefunctions AT hadigivi adaptivepredictivefunctionalcontrolofxypedestalforleosatellitetrackingusinglaguerrefunctions AT danieleugeniucrunteanu adaptivepredictivefunctionalcontrolofxypedestalforleosatellitetrackingusinglaguerrefunctions AT grigorecican adaptivepredictivefunctionalcontrolofxypedestalforleosatellitetrackingusinglaguerrefunctions
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Adaptive Predictive Functional Control of X-Y Pedestal for LEO Satellite Tracking Using Laguerre Functions

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