Parametric uncertainty handling of under-actuated nonlinear systems using an online optimal input–output feedback linearization controller

This research introduces a new online optimal control based on the input–output feedback linearization and a multi-crossover genetic algorithm for under-actuated nonlinear systems having parametric uncertainties. At first, the input–output feedback linearization method is successfully implemented to...

Full description

Bibliographic Details
Main Authors: M. J. Mahmoodabadi, M. Andalib Sahnehsaraei
Format: Article
Language:English
Published: Taylor & Francis Group 2021-01-01
Series:Systems Science & Control Engineering
Subjects:
Online Access:http://dx.doi.org/10.1080/21642583.2021.1891993
_version_ 1831713566633230336
author M. J. Mahmoodabadi
M. Andalib Sahnehsaraei
author_facet M. J. Mahmoodabadi
M. Andalib Sahnehsaraei
author_sort M. J. Mahmoodabadi
collection DOAJ
description This research introduces a new online optimal control based on the input–output feedback linearization and a multi-crossover genetic algorithm for under-actuated nonlinear systems having parametric uncertainties. At first, the input–output feedback linearization method is successfully implemented to derive the control law for a two degrees of freedom cart-pole nonlinear system. Then, the regarded optimization algorithm is applied to find the design parameters of the controller for different values of the uncertain variables. Next, an approximation function is suggested to calculate the optimum gains of the controller in the presence of the uncertainties in the system parameters. The simulation results are illustrated to prove the effectiveness and adeptness of the introduced scenario to overcome some common issues in the actual systems, i.e. under-actuating nonlinearities and uncertainties.
first_indexed 2024-12-20T23:42:18Z
format Article
id doaj.art-de84d63449af4891886be40f497920c3
institution Directory Open Access Journal
issn 2164-2583
language English
last_indexed 2024-12-20T23:42:18Z
publishDate 2021-01-01
publisher Taylor & Francis Group
record_format Article
series Systems Science & Control Engineering
spelling doaj.art-de84d63449af4891886be40f497920c32022-12-21T19:23:02ZengTaylor & Francis GroupSystems Science & Control Engineering2164-25832021-01-019120921810.1080/21642583.2021.18919931891993Parametric uncertainty handling of under-actuated nonlinear systems using an online optimal input–output feedback linearization controllerM. J. Mahmoodabadi0M. Andalib Sahnehsaraei1Sirjan University of TechnologyNational Iranian Gas Company (NIGC)This research introduces a new online optimal control based on the input–output feedback linearization and a multi-crossover genetic algorithm for under-actuated nonlinear systems having parametric uncertainties. At first, the input–output feedback linearization method is successfully implemented to derive the control law for a two degrees of freedom cart-pole nonlinear system. Then, the regarded optimization algorithm is applied to find the design parameters of the controller for different values of the uncertain variables. Next, an approximation function is suggested to calculate the optimum gains of the controller in the presence of the uncertainties in the system parameters. The simulation results are illustrated to prove the effectiveness and adeptness of the introduced scenario to overcome some common issues in the actual systems, i.e. under-actuating nonlinearities and uncertainties.http://dx.doi.org/10.1080/21642583.2021.1891993online optimal controlinput–output feedback linearizationmulti-crossovercart-pole nonlinear systemparametric uncertainty
spellingShingle M. J. Mahmoodabadi
M. Andalib Sahnehsaraei
Parametric uncertainty handling of under-actuated nonlinear systems using an online optimal input–output feedback linearization controller
Systems Science & Control Engineering
online optimal control
input–output feedback linearization
multi-crossover
cart-pole nonlinear system
parametric uncertainty
title Parametric uncertainty handling of under-actuated nonlinear systems using an online optimal input–output feedback linearization controller
title_full Parametric uncertainty handling of under-actuated nonlinear systems using an online optimal input–output feedback linearization controller
title_fullStr Parametric uncertainty handling of under-actuated nonlinear systems using an online optimal input–output feedback linearization controller
title_full_unstemmed Parametric uncertainty handling of under-actuated nonlinear systems using an online optimal input–output feedback linearization controller
title_short Parametric uncertainty handling of under-actuated nonlinear systems using an online optimal input–output feedback linearization controller
title_sort parametric uncertainty handling of under actuated nonlinear systems using an online optimal input output feedback linearization controller
topic online optimal control
input–output feedback linearization
multi-crossover
cart-pole nonlinear system
parametric uncertainty
url http://dx.doi.org/10.1080/21642583.2021.1891993
work_keys_str_mv AT mjmahmoodabadi parametricuncertaintyhandlingofunderactuatednonlinearsystemsusinganonlineoptimalinputoutputfeedbacklinearizationcontroller
AT mandalibsahnehsaraei parametricuncertaintyhandlingofunderactuatednonlinearsystemsusinganonlineoptimalinputoutputfeedbacklinearizationcontroller