Control Refinement Using Particle Methods

The paper presents a control scheme for the real-time tracking problem of nonlinear systems subjected to hard nonlinearities. The proposed tracking controller introduces a refining component in the control input designed for the nominal plant model. The refining component compensates for tracking pe...

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Main Authors: Saba Zia, Atif Qayyum, Fahad Mumtaz Malik, Mohammad Bilal Malik
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9698211/
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author Saba Zia
Atif Qayyum
Fahad Mumtaz Malik
Mohammad Bilal Malik
author_facet Saba Zia
Atif Qayyum
Fahad Mumtaz Malik
Mohammad Bilal Malik
author_sort Saba Zia
collection DOAJ
description The paper presents a control scheme for the real-time tracking problem of nonlinear systems subjected to hard nonlinearities. The proposed tracking controller introduces a refining component in the control input designed for the nominal plant model. The refining component compensates for tracking performance degradation caused by modelling uncertainties and external disturbances. The refining component is modelled as a random signal, the probability density function is expressed as a combination of finite weights typical of particle methods. The weights are updated based on sequential tracking error data. The proposed algorithm is simulated for an inverted pendulum affected by Coulomb friction. Comparison with existing techniques exhibits remarkably superior tracking performance.
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spelling doaj.art-5de9c4298ef847d9a2237e404218194c2022-12-21T23:45:19ZengIEEEIEEE Access2169-35362022-01-0110191241913210.1109/ACCESS.2022.31483069698211Control Refinement Using Particle MethodsSaba Zia0https://orcid.org/0000-0001-5727-6065Atif Qayyum1https://orcid.org/0000-0003-4812-1285Fahad Mumtaz Malik2Mohammad Bilal Malik3https://orcid.org/0000-0003-2850-7412Department of Electrical Engineering, College of Electrical and Mechanical Engineering, National University of Sciences and Technology, Islamabad, PakistanDepartment of Electrical Engineering, College of Electrical and Mechanical Engineering, National University of Sciences and Technology, Islamabad, PakistanDepartment of Electrical Engineering, College of Electrical and Mechanical Engineering, National University of Sciences and Technology, Islamabad, PakistanDepartment of Electrical Engineering, College of Electrical and Mechanical Engineering, National University of Sciences and Technology, Islamabad, PakistanThe paper presents a control scheme for the real-time tracking problem of nonlinear systems subjected to hard nonlinearities. The proposed tracking controller introduces a refining component in the control input designed for the nominal plant model. The refining component compensates for tracking performance degradation caused by modelling uncertainties and external disturbances. The refining component is modelled as a random signal, the probability density function is expressed as a combination of finite weights typical of particle methods. The weights are updated based on sequential tracking error data. The proposed algorithm is simulated for an inverted pendulum affected by Coulomb friction. Comparison with existing techniques exhibits remarkably superior tracking performance.https://ieeexplore.ieee.org/document/9698211/Control designcontrol refinementparticle filterssampled data systems
spellingShingle Saba Zia
Atif Qayyum
Fahad Mumtaz Malik
Mohammad Bilal Malik
Control Refinement Using Particle Methods
IEEE Access
Control design
control refinement
particle filters
sampled data systems
title Control Refinement Using Particle Methods
title_full Control Refinement Using Particle Methods
title_fullStr Control Refinement Using Particle Methods
title_full_unstemmed Control Refinement Using Particle Methods
title_short Control Refinement Using Particle Methods
title_sort control refinement using particle methods
topic Control design
control refinement
particle filters
sampled data systems
url https://ieeexplore.ieee.org/document/9698211/
work_keys_str_mv AT sabazia controlrefinementusingparticlemethods
AT atifqayyum controlrefinementusingparticlemethods
AT fahadmumtazmalik controlrefinementusingparticlemethods
AT mohammadbilalmalik controlrefinementusingparticlemethods