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Model-Predictive-Control-Based Centralized Disturbance Suppression Strategy for Distributed Drive Electric Vehicle

Author

Listed:
  • Aiping Tan

    (School of Cyber Science and Engineering, Liaoning University, Shenyang 110036, China)

  • Lixiao Gao

    (School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China)

  • Yanfeng Chen

    (College of Computer Science and Engineering, Northeastern University, Shenyang 110167, China)

Abstract

This paper presents a centralized disturbance suppression strategy for distributed drive electric vehicles which is based on model predictive direct motion control. This strategy is capable of addressing issues such as parameter uncertainties and external disturbances in vehicles. Firstly, the paper provides a brief introduction to model predictive direct motion control. Secondly, it analyzes the impact of vehicle parameter uncertainties and external disturbances on the mathematical model. Finally, a centralized disturbance suppression strategy based on a sliding mode observer is proposed. Simulation results demonstrate that this strategy exhibits excellent disturbance rejection capabilities.

Suggested Citation

  • Aiping Tan & Lixiao Gao & Yanfeng Chen, 2024. "Model-Predictive-Control-Based Centralized Disturbance Suppression Strategy for Distributed Drive Electric Vehicle," Energies, MDPI, vol. 17(10), pages 1-21, May.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:10:p:2268-:d:1390589
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