Distributed Receding Horizon Control of Vehicle Platoons: Stability and String Stability

被引:327
|
作者
Dunbar, William B. [1 ]
Caveney, Derek S. [2 ]
机构
[1] Univ Calif Santa Cruz, Dept Comp Engn, Santa Cruz, CA 95064 USA
[2] N Amer Inc, Toyota Motor Engn & Mfg, Ann Arbor, MI 48105 USA
关键词
Distributed control; intelligent vehicles; path planning; MODEL-PREDICTIVE CONTROL;
D O I
10.1109/TAC.2011.2159651
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper considers the problem of distributed control of a platoon of vehicles with nonlinear dynamics. We present distributed receding horizon control algorithms and derive sufficient conditions that guarantee asymptotic stability, leader-follower string stability, and predecessor-follower string stability, following a step speed change in the platoon. Vehicles compute their own control in parallel, and receive communicated position and velocity error trajectories from their immediate predecessor. Leader-follower string stability requires additional communication from the lead car at each update, in the form of a position error trajectory. Predecessor-follower string stability, as we define it, implies leader-follower string stability. Predecessor-follower string stability requires stricter constraints in the local optimal control problems than the leader-follower formulation, but communication from the lead car is required only once at initialization. Provided an initially feasible solution can be found, subsequent feasibility of the algorithms are guaranteed at every update. The theory is generalized for nonlinear decoupled dynamics, and is thus applicable to fleets of planes, robots, or boats, in addition to cars. A simple seven-car simulation examines parametric tradeoffs that affect stability and string stability. Analysis on platoon formation, heterogeneity and size (length) is also considered, resulting in intuitive tradeoffs between lead car and following car control flexibility.
引用
收藏
页码:620 / 633
页数:14
相关论文
共 50 条
  • [21] Stability-guaranteed horizon size for receding horizon control
    Quan, Zhonghua
    Han, Soohee
    Kwon, Wook Hyun
    [J]. IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, 2007, E90A (02): : 523 - 525
  • [22] Distributed Receding Horizon Control of Nonlinear Vehicle Formations with Constraints
    Li, Huiping
    Yan, Weisheng
    Shi, Yang
    [J]. PROCEEDINGS OF THE 28TH CHINESE CONTROL AND DECISION CONFERENCE (2016 CCDC), 2016, : 1715 - 1720
  • [23] Stability of Receding Horizon Control with Smooth Value Functions
    Layeghi, Hamed
    Caines, Peter E.
    [J]. 2018 IEEE CONFERENCE ON DECISION AND CONTROL (CDC), 2018, : 4295 - 4300
  • [24] On the Stability of Nonlinear Receding Horizon Control: A Geometric Perspective
    Westenbroek, Tyler
    Simchowitz, Max
    Jordan, Michael, I
    Sastry, S. Shankar
    [J]. 2021 60TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC), 2021, : 742 - 749
  • [25] Feasibility and stability of constrained finite receding horizon control
    Primbs, JA
    Nevistic, V
    [J]. AUTOMATICA, 2000, 36 (07) : 965 - 971
  • [26] On the stability of receding horizon control with a general terminal cost
    Jadbabaie, A
    Hauser, J
    [J]. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2005, 50 (05) : 674 - 678
  • [27] Stochastic String Stability of Vehicle Platoons via Cooperative Adaptive Cruise Control With Lossy Communication
    Acciani, Francesco
    Frasca, Paolo
    Heijenk, Geert
    Stoorvogel, Anton A.
    [J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 23 (08) : 10912 - 10922
  • [28] String stability margin of cyclic vehicle platoons with variable communication range*
    Kim, Yoonsoo
    [J]. AUTOMATICA, 2022, 146
  • [29] Distributed receding horizon control for multi-vehicle formation stabilization
    Dunbar, WB
    Murray, RM
    [J]. AUTOMATICA, 2006, 42 (04) : 549 - 558
  • [30] Centralized and distributed cooperative Receding Horizon control of autonomous vehicle missions
    Li, Wei
    Cassandras, Christos G.
    [J]. MATHEMATICAL AND COMPUTER MODELLING, 2006, 43 (9-10) : 1208 - 1228