Nonlinear Predictive Control System for Stiction Compensation in Electropneumatic Control Valves

This paper presents the implementation of a system that deals with static friction (stiction) in electropneumatic control valves, one of the most common nonlinearities that causes problems such as limit cycles and consequently wear of the valve and its moving parts, as well as losses in production a...

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Main Authors: M. E. U. J. Araújo, J. R. T. Gadelha, W. M. Santos, A. L. Maitelli, F. M. U. Araújo
Format: Article
Language:English
Published: Hindawi Limited 2018-01-01
Series:Journal of Control Science and Engineering
Online Access:http://dx.doi.org/10.1155/2018/1510705
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spelling doaj-c8ba81dd19a541518463f585870dc8242020-11-24T21:37:52ZengHindawi LimitedJournal of Control Science and Engineering1687-52491687-52572018-01-01201810.1155/2018/15107051510705Nonlinear Predictive Control System for Stiction Compensation in Electropneumatic Control ValvesM. E. U. J. Araújo0J. R. T. Gadelha1W. M. Santos2A. L. Maitelli3F. M. U. Araújo4Department of Informatics, Federal Institute of Paraíba, N-720, 58015-435 João Pessoa, PB, BrazilDepartment of Automation and Computing, CT, Federal University of Rio Grande do Norte, 59078-970 Natal, RN, BrazilDepartment of Automation and Computing, CT, Federal University of Rio Grande do Norte, 59078-970 Natal, RN, BrazilDepartment of Automation and Computing, CT, Federal University of Rio Grande do Norte, 59078-970 Natal, RN, BrazilDepartment of Automation and Computing, CT, Federal University of Rio Grande do Norte, 59078-970 Natal, RN, BrazilThis paper presents the implementation of a system that deals with static friction (stiction) in electropneumatic control valves, one of the most common nonlinearities that causes problems such as limit cycles and consequently wear of the valve and its moving parts, as well as losses in production and maintenance costs. This system is composed of a nonlinear predictive controller with adjustable constraints and an online database for estimation of the stiction parameters. The predictive controller uses constraints on the valve speed during its excursion, as well as constraints on the control signal to bring the valve to the desired position and slip it when necessary. The strategy adopted also showed robustness, being able to cope with changes in the spring and stiction parameters, which caused mismatch between the model and the controller and consequently loss of performance or even instability.http://dx.doi.org/10.1155/2018/1510705
collection DOAJ
language English
format Article
sources DOAJ
author M. E. U. J. Araújo
J. R. T. Gadelha
W. M. Santos
A. L. Maitelli
F. M. U. Araújo
spellingShingle M. E. U. J. Araújo
J. R. T. Gadelha
W. M. Santos
A. L. Maitelli
F. M. U. Araújo
Nonlinear Predictive Control System for Stiction Compensation in Electropneumatic Control Valves
Journal of Control Science and Engineering
author_facet M. E. U. J. Araújo
J. R. T. Gadelha
W. M. Santos
A. L. Maitelli
F. M. U. Araújo
author_sort M. E. U. J. Araújo
title Nonlinear Predictive Control System for Stiction Compensation in Electropneumatic Control Valves
title_short Nonlinear Predictive Control System for Stiction Compensation in Electropneumatic Control Valves
title_full Nonlinear Predictive Control System for Stiction Compensation in Electropneumatic Control Valves
title_fullStr Nonlinear Predictive Control System for Stiction Compensation in Electropneumatic Control Valves
title_full_unstemmed Nonlinear Predictive Control System for Stiction Compensation in Electropneumatic Control Valves
title_sort nonlinear predictive control system for stiction compensation in electropneumatic control valves
publisher Hindawi Limited
series Journal of Control Science and Engineering
issn 1687-5249
1687-5257
publishDate 2018-01-01
description This paper presents the implementation of a system that deals with static friction (stiction) in electropneumatic control valves, one of the most common nonlinearities that causes problems such as limit cycles and consequently wear of the valve and its moving parts, as well as losses in production and maintenance costs. This system is composed of a nonlinear predictive controller with adjustable constraints and an online database for estimation of the stiction parameters. The predictive controller uses constraints on the valve speed during its excursion, as well as constraints on the control signal to bring the valve to the desired position and slip it when necessary. The strategy adopted also showed robustness, being able to cope with changes in the spring and stiction parameters, which caused mismatch between the model and the controller and consequently loss of performance or even instability.
url http://dx.doi.org/10.1155/2018/1510705
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