Volume 24 Issue 2
Apr.  2024
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ZHU Xu, SUN Zhuo, ZHANG Ze-hua, YAN Mao-de. Stability of vehicle platoon control system with three types of delays[J]. Journal of Traffic and Transportation Engineering, 2024, 24(2): 254-266. doi: 10.19818/j.cnki.1671-1637.2024.02.018
Citation: ZHU Xu, SUN Zhuo, ZHANG Ze-hua, YAN Mao-de. Stability of vehicle platoon control system with three types of delays[J]. Journal of Traffic and Transportation Engineering, 2024, 24(2): 254-266. doi: 10.19818/j.cnki.1671-1637.2024.02.018

Stability of vehicle platoon control system with three types of delays

doi: 10.19818/j.cnki.1671-1637.2024.02.018
Funds:

National Key Research and Development Program of China 2021YFA1000303

National Natural Science Foundation of China 62003054

Key Research and Development Program of Shaanxi Province 2023-YBGY-398

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  • Author Bio:

    ZHU Xu(1987-), male, associate professor, PhD, zx@gfscw.cn

  • Received Date: 2023-10-23
  • Publish Date: 2024-04-30
  • The internal stability and string stability of the vehicle platoon control system incorporating input delay, vehicle to vehicle communication delay, and broadcast delay of the lead vehicle were studied. In terms of internal stability, a method combining the Kronecker sum and cluster treatment of characteristic root (CTCR) method was proposed, in which the necessary and sufficient conditions for the internal stability of the system were obtained. In terms of string stability, the sufficient conditions were proposed to ensure that the disturbances propagated backward along the vehicle platoon without divergence. It was revealed that the string stability was independent of the vehicle to vehicle communication delay. On this basis, the upper bound of the delays and design range of the vehicle controller gains were provided to guarantee string stability. Simulation results show that the vehicle platoon control system can maintain both the internal stability and string stability simultaneously when the proposed stability conditions are satisfied. The delay margins obtained by the proposed internal stability method are both complete and exact, with the error between theoretically derived results and simulation experiment results being less than 0.1 s. In addition, the simulation time is two orders of magnitude shorter than the Bézout resultant elimination and three orders of magnitude shorter than the Sylvester resultant elimination. This indicates that the proposed method significantly reduces the computational burden of the traditional CTCR method. The state errors between vehicles quickly converge to 0 within 15 s. When the velocities of all vehicles are constant, a desired safe distance of 50 m between the successive vehicles is maintained. When the leader vehicle accelerates at 0.4 m·s-2 and decelerates at 0.6 m·s-2, the velocities and accelerations of the following vehicles change accordingly, while the spacing errors between vehicles remain less than 0.5 m, and these errors propagate backward along the vehicle platoon without divergence.

     

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  • [1]
    LI S E, ZHENG Y, LI K Q, et al. Dynamical modeling and distributed control of connected and automated vehicles: challenges and opportunities[J]. IEEE Intelligent Transportation Systems Magazine, 2017, 9(3): 46-58. doi: 10.1109/MITS.2017.2709781
    [2]
    ZHANG Yi, YAO Dan-ya, LI Li, et al. Technologies and applications for intelligent vehicle-infrastructure cooperation systems[J]. Journal of Transportation Systems Engineering and Information Technology, 2021, 21(5): 40-51. (in Chinese) http://www.cnki.com.cn/Article/CJFDTOTAL-YSXT202105006.htm
    [3]
    LI Da-peng, LIU Yan-jun, TONG Shao-cheng, et al. Neural networks-based adaptive control for nonlinear state constrained systems with input delay[J]. IEEE Transactions on Cybernetics, 2019, 49(4): 1249-1258. doi: 10.1109/TCYB.2018.2799683
    [4]
    DENG Chao, CHE Wei-wei, WU Zheng-guang. A dynamic periodic event-triggered approach to consensus of heterogeneous linear multiagent systems with time-varying communication delays[J]. IEEE Transactions on Cybernetics, 2021, 51(4): 1812-1821. doi: 10.1109/TCYB.2020.3015746
    [5]
    HUANG Da-rong, LI Shao-qian, ZHANG Zhen-yuan, et al. Design and analysis of longitudinal controller for the platoon with time-varying delay[J]. IEEE Transactions on Intelligent Transportation Systems, 2022, 23(12): 23628-23639. doi: 10.1109/TITS.2022.3200026
    [6]
    LIU An-quan, LI Tao, GU Yu, et al. Cooperative extended state observer based control of vehicle platoons with arbitrarily small time headway[J]. Automatica, 2021, 129: 109678. doi: 10.1016/j.automatica.2021.109678
    [7]
    WANG Bing-ying, ZHENG Jun, REN Qi-lei, et al. Analysis of the intra-platoon message delivery delay in a platoon of vehicles[J]. IEEE Transactions on Vehicular Technology, 2021, 70(7): 7012-7026. doi: 10.1109/TVT.2021.3076157
    [8]
    PLOEG J, SHUKLA D P, VAN DE WOUW N, et al. Controller synthesis for string stability of vehicle platoons[J]. IEEE Transactions on Intelligent Transportation Systems, 2014, 15(2): 854-865. doi: 10.1109/TITS.2013.2291493
    [9]
    ZHENG Y, LI S E, WANG J Q, et al. Stability and scalability of homogeneous vehicular platoon: study on the influence of information flow topologies[J]. IEEE Transactions on Intelligent Transportation Systems, 2016, 17(1): 14-26. doi: 10.1109/TITS.2015.2402153
    [10]
    LI Xu-guang, ZHANG Ying-wei, FENG Lin. Survey on complete stability study for time-delay systems[J]. Control and Decision, 2018, 33(7): 1153-1170. (in Chinese) http://www.cnki.com.cn/Article/CJFDTOTAL-KZYC201807001.htm
    [11]
    AKKAYA S, AKBATI O, ERGENC A F. Stability analysis of connected vehicles with V2V communication and time delays: CTCR method via Bézout's resultant[J]. Transactions of the Institute of Measurement and Control, 2021, 43(8): 1802-1829. doi: 10.1177/0142331220981426
    [12]
    ABOLFAZLI E, BESSELINK B, CHARALAMBOUS T. On time headway selection in platoons under the MPF topology in the presence of communication delays[J]. IEEE Transactions on Intelligent Transportation Systems, 2022, 23(7): 8881-8894. doi: 10.1109/TITS.2021.3087484
    [13]
    GAO Q B, OLGAC N. Stability analysis for LTI systems with multiple time delays using the bounds of its imaginary spectra[J]. Systems and Control Letters, 2017, 102: 112-118. doi: 10.1016/j.sysconle.2017.02.003
    [14]
    GUO Ge, KANG Jian, LEI Hong-bo, et al. Finite-time stabilization of a collection of connected vehicles subject to communication interruptions[J]. IEEE Transactions on Intelligent Transportation Systems, 2022, 23(8): 10627-10635. doi: 10.1109/TITS.2021.3095147
    [15]
    GAO Q B, OLGAC N. Bounds of imaginary spectra of LTI systems in the domain of two of the multiple time delays[J]. Automatica, 2016, 72: 235-241. doi: 10.1016/j.automatica.2016.05.011
    [16]
    CHEN Jian-zhong, LIANG Huan, LI Jing, et al. Connected automated vehicle platoon control with input saturation and variable time headway strategy[J]. IEEE Transactions on Intelligent Transportation Systems, 2021, 22(8): 4929-4940. doi: 10.1109/TITS.2020.2983468
    [17]
    LI Yong-fu, HE Chang-peng, ZHU Hao, et al. Nonlinear longitudinal control for heterogeneous connected vehicle platoon in the presence of communication delays[J]. Acta Automatica Sinica, 2021, 47(12): 2841-2856. (in Chinese) http://www.cnki.com.cn/Article/CJFDTOTAL-MOTO202112011.htm
    [18]
    SHI Min, YU Ya-juan, XU Qi. Delay-dependent consensus condition for a class of fractional-order linear multi-agent systems with input time-delay[J]. International Journal of Systems Science, 2019, 50(4): 669-678. doi: 10.1080/00207721.2019.1567865
    [19]
    SADEK B A, HOUSSAINE T E, NOREDDINE C. Small- gain theorem and finite-frequency analysis of TCP/AQM system with time varying delay[J]. IET Control Theory and Applications, 2019, 13(13): 1971-1982. doi: 10.1049/iet-cta.2018.6466
    [20]
    CEPEDA-GOMEZ R, OLGAC N. Consensus analysis with large and multiple communication delays using spectral delay space concept[J]. International Journal of Control, 2011, 84(12): 1996-2007. doi: 10.1080/00207179.2011.631151
    [21]
    ZHU Xu, ZHANG Ze-hua, YAN Mao-de. Stability of PID control system for vehicle platoon with input delay and communication delay[J]. Journal of Traffic and Transportation Engineering, 2022, 22(3): 184-198. (in Chinese) doi: 10.19818/j.cnki.1671-1637.2022.03.015
    [22]
    GONG Jian, CAO Jin-de, ZHAO Yuan, et al. Sampling- based cooperative adaptive cruise control subject to communication delays and actuator lags[J]. Mathematics and Computers in Simulation, 2020, 171: 13-25. doi: 10.1016/j.matcom.2019.10.012
    [23]
    HU San-gen, WEN Hui-ying, XU Lun-hui, et al. Stability of platoon of adaptive cruise control vehicles with time delay[J]. Transportation Letters, 2019, 11(9): 506-515. doi: 10.1080/19427867.2017.1407488
    [24]
    XING H T, PLOEG J, NIJMEIJER H. Padé approximation of delays in cooperative ACC based on string stability requirements[J]. IEEE Transactions on Intelligent Vehicles, 2016, 1(3): 277-286. doi: 10.1109/TIV.2017.2662482
    [25]
    LIU Yong-gui, GAO Huan-li. Stability, scalability, speedability, and string stability of connected vehicle systems[J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2022, 52(5): 2819-2832. doi: 10.1109/TSMC.2021.3054794
    [26]
    CHEHARDOLI H, HOMAEINEZHAD M R, GHASEMI A. Control design and stability analysis of homogeneous traffic flow under time delay: a new spacing policy[J]. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 2019, 233(3): 622-635. doi: 10.1177/0954407017751789
    [27]
    ALIKOC B, ERGENC A F. A polynomial method for stability analysis of LTI systems independent of delays[J]. SIAM Journal on Control and Optimization, 2017, 55(4): 2661-2683. doi: 10.1137/16M1077726
    [28]
    ZHOU Bin, LIU Qing-song. Input delay compensation for neutral type time-delay systems[J]. Automatica, 2017, 78: 309-319. doi: 10.1016/j.automatica.2016.12.015
    [29]
    GAIDHANE V H, HOTE Y V. An improved approach for stability analysis of discrete system[J]. Journal of Control, Automation and Electrical Systems, 2018, 29(5): 535-540. doi: 10.1007/s40313-018-0396-5
    [30]
    CEPEDA-GOMEZ R, OLGAC N. Stability of formation control using a consensus protocol under directed communications with two time delays and delay scheduling[J]. International Journal of Systems Science, 2016, 47(2): 433-449. doi: 10.1080/00207721.2014.886745
    [31]
    BIAN You-gang, ZHENG Yang, REN Wei, et al. Reducing time headway for platooning of connected vehicles via V2V communication[J]. Transportation Research Part C: Emerging Technologies, 2019, 102: 87-105. doi: 10.1016/j.trc.2019.03.002

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