IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i3p984-d737156.html
   My bibliography  Save this article

Model Predictive Control Based Path Tracking and Velocity Control with Rollover Prevention Function for Autonomous Electric Road Sweeper

Author

Listed:
  • Yonghwan Jeong

    (Department of Mechanical and Automotive Engineering, Seoul National University of Science and Technology, 232 Gongneung-ro, Nowon-gu, Seoul 01811, Korea)

  • Wongun Kim

    (Korea Institute of Industrial Technologies, Seobuk-gu, Cheonan-si 31056, Korea)

  • Seongjin Yim

    (Department of Mechanical and Automotive Engineering, Seoul National University of Science and Technology, 232 Gongneung-ro, Nowon-gu, Seoul 01811, Korea)

Abstract

This paper presents a model predictive control (MPC)-based algorithm for rollover prevention of an autonomous electric road sweeper (AERS). For AERS, the basic function of autonomous driving is a path- and velocity-tracking control needed to make a vehicle follow given path and velocity profiles. On the other, the AERS adopts an articulated frame steering (AFS) mechanism which can make cornering behavior agile. Moreover, the tread of the AERS is narrow, and the height of the mass center is high. As a result, it is prone to roll over. For this reason, it is necessary to design a controller for path and velocity tracking and rollover prevention in order to improve maneuverability and roll safety of the AERS. A kinematic model was adopted as a vehicle one for the AERS. With the vehicle model, reference states of position and velocity were determined that are needed to make the AERS track the reference path and prevent rollover. With the vehicle model and reference states, an MPC-based motion controller was designed to optimize articulation angle and velocity commands. The load-transfer ratio (LTR) was used to measure a rollover propensity. To evaluate the proposed algorithm, a simulation was conducted for the U-turn scenario. Simulation results show that the proposed algorithm improves path tracking and prevents the rollover of the AERS.

Suggested Citation

  • Yonghwan Jeong & Wongun Kim & Seongjin Yim, 2022. "Model Predictive Control Based Path Tracking and Velocity Control with Rollover Prevention Function for Autonomous Electric Road Sweeper," Energies, MDPI, vol. 15(3), pages 1-19, January.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:3:p:984-:d:737156
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/3/984/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/15/3/984/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chen, Feng & Taylor, Nathaniel & Kringos, Nicole, 2015. "Electrification of roads: Opportunities and challenges," Applied Energy, Elsevier, vol. 150(C), pages 109-119.
    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. Jānis Krūmiņš & Māris Kļaviņš, 2023. "Investigating the Potential of Nuclear Energy in Achieving a Carbon-Free Energy Future," Energies, MDPI, vol. 16(9), pages 1-31, April.
    2. Liimatainen, Heikki & van Vliet, Oscar & Aplyn, David, 2019. "The potential of electric trucks – An international commodity-level analysis," Applied Energy, Elsevier, vol. 236(C), pages 804-814.
    3. Soares, Laura & Wang, Hao, 2022. "A study on renewed perspectives of electrified road for wireless power transfer of electric vehicles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
    4. Maria Taljegard & Lisa Göransson & Mikael Odenberger & Filip Johnsson, 2019. "Electric Vehicles as Flexibility Management Strategy for the Electricity System—A Comparison between Different Regions of Europe," Energies, MDPI, vol. 12(13), pages 1-19, July.
    5. Liu, Haoxiang & Wang, David Z.W., 2017. "Locating multiple types of charging facilities for battery electric vehicles," Transportation Research Part B: Methodological, Elsevier, vol. 103(C), pages 30-55.
    6. Marta Raźniewska & Anna Wronka, 2024. "Transport Fleet Electrification Development Conditions—Perspective of Transport, Shipping, and Logistics Industry in Poland," Energies, MDPI, vol. 17(17), pages 1-19, August.
    7. Hasan Huseyin Coban & Aysha Rehman & Abdullah Mohamed, 2022. "Analyzing the Societal Cost of Electric Roads Compared to Batteries and Oil for All Forms of Road Transport," Energies, MDPI, vol. 15(5), pages 1-20, March.
    8. Alwesabi, Yaseen & Wang, Yong & Avalos, Raul & Liu, Zhaocai, 2020. "Electric bus scheduling under single depot dynamic wireless charging infrastructure planning," Energy, Elsevier, vol. 213(C).
    9. Natanael Bolson & Maxim Yutkin & Tadeusz Patzek, 2023. "Primary Power Analysis of a Global Electrification Scenario," Sustainability, MDPI, vol. 15(19), pages 1-20, October.
    10. Jürgen K. Wilke & Ferdinand Schöpp & Regina Linke & Laurenz Bremer & Maya Ada Scheyltjens & Niki Buggenhout & Eva Kassens-Noor, 2024. "Availability of an Overhead Contact Line System for the Electrification of Road Freight Transport," Sustainability, MDPI, vol. 16(15), pages 1-14, July.
    11. Taljegard, M. & Göransson, L. & Odenberger, M. & Johnsson, F., 2017. "Spacial and dynamic energy demand of the E39 highway – Implications on electrification options," Applied Energy, Elsevier, vol. 195(C), pages 681-692.
    12. Jesko Schulte & Henrik Ny, 2018. "Electric Road Systems: Strategic Stepping Stone on the Way towards Sustainable Freight Transport?," Sustainability, MDPI, vol. 10(4), pages 1-16, April.
    13. Gholikhani, Mohammadreza & Nasouri, Reza & Tahami, Seyed Amid & Legette, Sarah & Dessouky, Samer & Montoya, Arturo, 2019. "Harvesting kinetic energy from roadway pavement through an electromagnetic speed bump," Applied Energy, Elsevier, vol. 250(C), pages 503-511.
    14. Tan, Zhen & Liu, Fan & Chan, Hing Kai & Gao, H. Oliver, 2022. "Transportation systems management considering dynamic wireless charging electric vehicles: Review and prospects," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 163(C).
    15. Mekky, Maher F. & Collins, Alan R., 2024. "The Impact of state policies on electric vehicle adoption -A panel data analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 191(C).
    16. Fernández-Dacosta, Cora & Shen, Li & Schakel, Wouter & Ramirez, Andrea & Kramer, Gert Jan, 2019. "Potential and challenges of low-carbon energy options: Comparative assessment of alternative fuels for the transport sector," Applied Energy, Elsevier, vol. 236(C), pages 590-606.
    17. Shokrzadeh, Shahab & Bibeau, Eric, 2016. "Sustainable integration of intermittent renewable energy and electrified light-duty transportation through repurposing batteries of plug-in electric vehicles," Energy, Elsevier, vol. 106(C), pages 701-711.
    18. Qiuchen Wang & Jannicke Baalsrud Hauge & Sebastiaan Meijer, 2019. "Adopting an Actor Analysis Framework to a Complex Technology Innovation Project: A Case Study of an Electric Road System," Sustainability, MDPI, vol. 12(1), pages 1-35, December.
    19. Thomas De Muijlder & Michel Voué & Philippe Leclère, 2023. "Laser Ablation Synthesis of Silver Nanoparticles for Polymer Nanocomposites," Energies, MDPI, vol. 16(12), pages 1-12, June.
    20. Deng, Junjun & Pang, Bo & Shi, Wenli & Wang, Zhenpo, 2017. "A new integration method with minimized extra coupling effects using inductor and capacitor series-parallel compensation for wireless EV charger," Applied Energy, Elsevier, vol. 207(C), pages 405-416.

    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:gam:jeners:v:15:y:2022:i:3:p:984-:d:737156. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.