Application of MIMO Control Algorithm for Active Suspension System: A New Model with 5 State Variables
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , |
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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Latin American journal of solids and structures (Online) |
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|
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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 |
_version_ |
1754302890967564288 |