IDEAS home Printed from https://ideas.repec.org/a/wly/jnlmpe/v2023y2023i1n2889435.html

The Dynamic Model and Control Algorithm for the Active Suspension System

Author

Listed:
  • Duc Ngoc Nguyen
  • Tuan Anh Nguyen

Abstract

Road surface roughness is the leading cause of vehicle oscillation. The suspension system is used to dampen these oscillations. The active suspension system equipped with a hydraulic actuator is more efficient than the passive one. Therefore, it is used to replace the passive suspension system. The article reviews and analyses models and control algorithms for active suspension systems. In this article, the author mentioned three dynamic models commonly used to simulate vehicle oscillations: a quarter‐dynamic model, a half‐dynamic model, and a fully dynamic model. Each hydraulic actuator can be considered a state variable in the dynamic model. Besides, the control algorithm for the suspension system is significant. Algorithms like PID (proportional–integral–derivative) and LQR (linear quadratic regulator) will fit the linear model. In contrast, the nonlinear model’s algorithms, such as SMC (sliding mode control), fuzzy, and ANN (artificial neural network), will perform better. Overall, vehicle oscillation can be significantly improved once an active suspension system is used. The contents analysed in this article will be the database for selecting control models and algorithms by other researchers in the future.

Suggested Citation

  • Duc Ngoc Nguyen & Tuan Anh Nguyen, 2023. "The Dynamic Model and Control Algorithm for the Active Suspension System," Mathematical Problems in Engineering, John Wiley & Sons, vol. 2023(1).
    • Handle: RePEc:wly:jnlmpe:v:2023:y:2023:i:1:n:2889435
    DOI: 10.1155/2023/2889435
    as

    Download full text from publisher

    File URL: https://doi.org/10.1155/2023/2889435
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2023/2889435?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Daniel Rodriguez-Guevara & Antonio Favela-Contreras & Francisco Beltran-Carbajal & David Sotelo & Carlos Sotelo, 2021. "Active Suspension Control Using an MPC-LQR-LPV Controller with Attraction Sets and Quadratic Stability Conditions," Mathematics, MDPI, vol. 9(20), pages 1-17, October.
    2. Aydin Azizi & Hamed Mobki & Matilde Santos, 2021. "Applied Mechatronics: Designing a Sliding Mode Controller for Active Suspension System," Complexity, Hindawi, vol. 2021, pages 1-23, May.
    3. Rui Bai & Dong Guo, 2018. "Sliding-Mode Control of the Active Suspension System with the Dynamics of a Hydraulic Actuator," Complexity, Hindawi, vol. 2018, pages 1-6, August.
    4. Jie Lan & Tongyu Xu & Rui Wang, 2021. "Adaptive Finite-Time Fault-Tolerant Control for Half-Vehicle Active Suspension Systems with Output Constraints and Random Actuator Failures," Complexity, Hindawi, vol. 2021, pages 1-16, July.
    5. Duc Ngoc Nguyen & Tuan Anh Nguyen, 2022. "Enhancing the performance of the vehicle active suspension system by an Optimal Sliding Mode Control algorithm," PLOS ONE, Public Library of Science, vol. 17(12), pages 1-21, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Duc Ngoc Nguyen & Tuan Anh Nguyen, 2022. "A Novel Hybrid Control Algorithm Sliding Mode‐PID for the Active Suspension System with State Multivariable," Complexity, John Wiley & Sons, vol. 2022(1).
    2. Hao Chen & Mingde Gong & Dingxuan Zhao & Wei Zhang & Wenbin Liu & Yue Zhang, 2022. "Design and Motion Characteristics of Active–Passive Composite Suspension Actuator," Mathematics, MDPI, vol. 10(22), pages 1-21, November.
    3. Alejandro Bustos & Jesus Meneses & Higinio Rubio & Enrique Soriano-Heras, 2022. "Predictive Suspension Algorithm for Land Vehicles over Deterministic Topography," Mathematics, MDPI, vol. 10(9), pages 1-20, April.
    4. Zheng Wang & Longyi Ran & Bing Kong & Xuezeng Jia & Liya Liu & Jafar Tavoosi, 2022. "Suspension System Control Based on Type‐2 Fuzzy Sliding Mode Technique," Complexity, John Wiley & Sons, vol. 2022(1).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wly:jnlmpe:v:2023:y:2023:i:1:n:2889435. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://onlinelibrary.wiley.com/journal/2629 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.