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Exploring the Role of Sampling Time in String Stabilization for Platooning: An Experimental Case Study

Author

Listed:
  • Felipe I. Villenas

    (Departamento de Electrónica, Universidad Técnica Federico Santa María, Avda. España 1680, Valparaíso 2390123, Chile)

  • Francisco J. Vargas

    (Departamento de Electrónica, Universidad Técnica Federico Santa María, Avda. España 1680, Valparaíso 2390123, Chile)

  • Andrés A. Peters

    (Faculty of Engineering and Sciences, Universidad Adolfo Ibáñez, Santiago 7941169, Chile)

Abstract

In this article, we investigate the behavior of vehicle platoons operating in a predecessor-following configuration, implemented through sampled-data control systems. Our primary focus is to examine the potential influence of the sampling time on the string stability of the platoon. To address this, we begin by designing a string-stable platoon in continuous time. Subsequently, we consider the controller discretization process and proceed to simulate and implement the designed control strategy on an experimental platform at a scaled-down level. Through experimental testing and some theoretical results, we analyze the effects of different sampling times on the string stability performance of the platoon. We observe that an inappropriate selection of the sampling time can lead to a degradation in string stability within the platoon, making the choice of the sampling time crucial in maintaining the desired string stability properties. These findings highlight the importance of carefully considering the sampling time in the implementation of control systems for platooning applications.

Suggested Citation

  • Felipe I. Villenas & Francisco J. Vargas & Andrés A. Peters, 2023. "Exploring the Role of Sampling Time in String Stabilization for Platooning: An Experimental Case Study," Mathematics, MDPI, vol. 11(13), pages 1-18, June.
    • Handle: RePEc:gam:jmathe:v:11:y:2023:i:13:p:2923-:d:1182869
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    References listed on IDEAS

    as
    1. Carlos Escobar & Francisco J. Vargas & Andrés A. Peters & Gonzalo Carvajal, 2023. "A Cooperative Control Algorithm for Line and Predecessor Following Platoons Subject to Unreliable Distance Measurements," Mathematics, MDPI, vol. 11(4), pages 1-18, February.
    2. Felipe I. Villenas & Francisco J. Vargas & Andrés A. Peters, 2023. "A Kalman-Based Compensation Strategy for Platoons Subject to Data Loss: Numerical and Empirical Study," Mathematics, MDPI, vol. 11(5), pages 1-26, March.
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