Application of MIMO Control Algorithm for Active Suspension System: A New Model with 5 State Variables

Detalhes bibliográficos
Autor(a) principal: Nguyen,Manh Long
Data de Publicação: 2022
Outros Autores: Tran,Thi Thu Huong, Nguyen,Tuan Anh, Nguyen,Duc Ngoc, Dang,Ngoc Duyen
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Latin American journal of solids and structures (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1679-78252022000200509
Resumo: Abstract This paper introduces the LQR control algorithm for the active suspension system. Because the model of the vehicle dynamics used in this paper includes a hydraulic actuator, therefore, this model will include five state variables. Besides, the process of linearization of the hydraulic actuator is also shown in this paper. This is a completely novel and original method. It is possible to describe almost all the characteristics of hydraulic actuators with just one linear differential equation. Also, the parameters of the LQR controller are optimized through the in-loop optimization algorithm. The results of the research showed that the values of displacement and acceleration of the sprung mass were significantly reduced when this algorithm was used. In the investigation cases, these values usually do not exceed 2.68% and 43.00% compared to the situation of the vehicle using only a passive suspension system. Therefore, ride comfort and stability can be enhanced in many driving conditions when the active suspension system with the LQR control algorithm is used.
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spelling Application of MIMO Control Algorithm for Active Suspension System: A New Model with 5 State VariablesActive suspension systemHydraulic actuatorLQR controllerMIMO systemAbstract This paper introduces the LQR control algorithm for the active suspension system. Because the model of the vehicle dynamics used in this paper includes a hydraulic actuator, therefore, this model will include five state variables. Besides, the process of linearization of the hydraulic actuator is also shown in this paper. This is a completely novel and original method. It is possible to describe almost all the characteristics of hydraulic actuators with just one linear differential equation. Also, the parameters of the LQR controller are optimized through the in-loop optimization algorithm. The results of the research showed that the values of displacement and acceleration of the sprung mass were significantly reduced when this algorithm was used. In the investigation cases, these values usually do not exceed 2.68% and 43.00% compared to the situation of the vehicle using only a passive suspension system. Therefore, ride comfort and stability can be enhanced in many driving conditions when the active suspension system with the LQR control algorithm is used.Associação Brasileira de Ciências Mecânicas2022-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1679-78252022000200509Latin American Journal of Solids and Structures v.19 n.2 2022reponame:Latin American journal of solids and structures (Online)instname:Associação Brasileira de Engenharia e Ciências Mecânicas (ABCM)instacron:ABCM10.1590/1679-78256992info:eu-repo/semantics/openAccessNguyen,Manh LongTran,Thi Thu HuongNguyen,Tuan AnhNguyen,Duc NgocDang,Ngoc Duyeneng2022-03-10T00:00:00Zoai:scielo:S1679-78252022000200509Revistahttp://www.scielo.br/scielo.php?script=sci_serial&pid=1679-7825&lng=pt&nrm=isohttps://old.scielo.br/oai/scielo-oai.phpabcm@abcm.org.br||maralves@usp.br1679-78251679-7817opendoar:2022-03-10T00:00Latin American journal of solids and structures (Online) - Associação Brasileira de Engenharia e Ciências Mecânicas (ABCM)false
dc.title.none.fl_str_mv Application of MIMO Control Algorithm for Active Suspension System: A New Model with 5 State Variables
title Application of MIMO Control Algorithm for Active Suspension System: A New Model with 5 State Variables
spellingShingle Application of MIMO Control Algorithm for Active Suspension System: A New Model with 5 State Variables
Nguyen,Manh Long
Active suspension system
Hydraulic actuator
LQR controller
MIMO system
title_short Application of MIMO Control Algorithm for Active Suspension System: A New Model with 5 State Variables
title_full Application of MIMO Control Algorithm for Active Suspension System: A New Model with 5 State Variables
title_fullStr Application of MIMO Control Algorithm for Active Suspension System: A New Model with 5 State Variables
title_full_unstemmed Application of MIMO Control Algorithm for Active Suspension System: A New Model with 5 State Variables
title_sort Application of MIMO Control Algorithm for Active Suspension System: A New Model with 5 State Variables
author Nguyen,Manh Long
author_facet Nguyen,Manh Long
Tran,Thi Thu Huong
Nguyen,Tuan Anh
Nguyen,Duc Ngoc
Dang,Ngoc Duyen
author_role author
author2 Tran,Thi Thu Huong
Nguyen,Tuan Anh
Nguyen,Duc Ngoc
Dang,Ngoc Duyen
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Nguyen,Manh Long
Tran,Thi Thu Huong
Nguyen,Tuan Anh
Nguyen,Duc Ngoc
Dang,Ngoc Duyen
dc.subject.por.fl_str_mv Active suspension system
Hydraulic actuator
LQR controller
MIMO system
topic Active suspension system
Hydraulic actuator
LQR controller
MIMO system
description Abstract This paper introduces the LQR control algorithm for the active suspension system. Because the model of the vehicle dynamics used in this paper includes a hydraulic actuator, therefore, this model will include five state variables. Besides, the process of linearization of the hydraulic actuator is also shown in this paper. This is a completely novel and original method. It is possible to describe almost all the characteristics of hydraulic actuators with just one linear differential equation. Also, the parameters of the LQR controller are optimized through the in-loop optimization algorithm. The results of the research showed that the values of displacement and acceleration of the sprung mass were significantly reduced when this algorithm was used. In the investigation cases, these values usually do not exceed 2.68% and 43.00% compared to the situation of the vehicle using only a passive suspension system. Therefore, ride comfort and stability can be enhanced in many driving conditions when the active suspension system with the LQR control algorithm is used.
publishDate 2022
dc.date.none.fl_str_mv 2022-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1679-78252022000200509
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1679-78252022000200509
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1679-78256992
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Associação Brasileira de Ciências Mecânicas
publisher.none.fl_str_mv Associação Brasileira de Ciências Mecânicas
dc.source.none.fl_str_mv Latin American Journal of Solids and Structures v.19 n.2 2022
reponame:Latin American journal of solids and structures (Online)
instname:Associação Brasileira de Engenharia e Ciências Mecânicas (ABCM)
instacron:ABCM
instname_str Associação Brasileira de Engenharia e Ciências Mecânicas (ABCM)
instacron_str ABCM
institution ABCM
reponame_str Latin American journal of solids and structures (Online)
collection Latin American journal of solids and structures (Online)
repository.name.fl_str_mv Latin American journal of solids and structures (Online) - Associação Brasileira de Engenharia e Ciências Mecânicas (ABCM)
repository.mail.fl_str_mv abcm@abcm.org.br||maralves@usp.br
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