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

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

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 al...

Full description

Saved in:

Bibliographic Details
Main Authors:	Manh Long Nguyen, Thi Thu Huong, Tran, Tuan Anh, Nguyen, Duc Ngoc, Nguyen, Ngoc Duyen, Dang
Format:	Bài trích
Language:	English
Published:	SciELO 2022
Subjects:	Active suspension system Hydraulic actuator
Online Access:	https://www.scielo.br/j/lajss/a/KFPvVt75ffDwXM5Kdwpfyvy/?lang=en https://dlib.phenikaa-uni.edu.vn/handle/PNK/5921 https://doi.org/10.1590/1679-78256992
Tags:	Add Tag No Tags, Be the first to tag this record!

id	oai:localhost:PNK-5921
record_format	dspace
spelling	oai:localhost:PNK-59212022-08-17T05:54:56Z Application of MIMO Control Algorithm for Active Suspension System: A New Model with 5 State Variables Manh Long Nguyen Thi Thu Huong, Tran Tuan Anh, Nguyen Duc Ngoc, Nguyen Ngoc Duyen, Dang Active suspension system Hydraulic actuator 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. 2022-07-13T01:59:56Z 2022-07-13T01:59:56Z 2022 Bài trích https://www.scielo.br/j/lajss/a/KFPvVt75ffDwXM5Kdwpfyvy/?lang=en https://dlib.phenikaa-uni.edu.vn/handle/PNK/5921 https://doi.org/10.1590/1679-78256992 en SciELO
institution	Digital Phenikaa
collection	Digital Phenikaa
language	English
topic	Active suspension system Hydraulic actuator
spellingShingle	Active suspension system Hydraulic actuator Manh Long Nguyen Thi Thu Huong, Tran Tuan Anh, Nguyen Duc Ngoc, Nguyen Ngoc Duyen, Dang Application of MIMO Control Algorithm for Active Suspension System: A New Model with 5 State Variables
description	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.
format	Bài trích
author	Manh Long Nguyen Thi Thu Huong, Tran Tuan Anh, Nguyen Duc Ngoc, Nguyen Ngoc Duyen, Dang
author_facet	Manh Long Nguyen Thi Thu Huong, Tran Tuan Anh, Nguyen Duc Ngoc, Nguyen Ngoc Duyen, Dang
author_sort	Manh Long Nguyen
title	Application of MIMO Control Algorithm for Active Suspension System: A New Model with 5 State Variables
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
publisher	SciELO
publishDate	2022
url	https://www.scielo.br/j/lajss/a/KFPvVt75ffDwXM5Kdwpfyvy/?lang=en https://dlib.phenikaa-uni.edu.vn/handle/PNK/5921 https://doi.org/10.1590/1679-78256992
_version_	1751856288558481408
score	8.891145

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

Similar Items