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...
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SciELO
2022
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| Truy cập trực tuyến: | 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 |
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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 |