| 引用本文: | 何德峰,俞芳慧,徐晨辉.网联车辆协同巡航系统快速滚动时域状态估计[J].控制理论与应用,2021,38(4):457~466.[点击复制] |
| HE De-feng,YU Fang-hui,XU Chen-hui.Fast receding horizon state estimation of cooperative cruise systems of connected vehicles[J].Control Theory and Technology,2021,38(4):457~466.[点击复制] |
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| 网联车辆协同巡航系统快速滚动时域状态估计 |
| Fast receding horizon state estimation of cooperative cruise systems of connected vehicles |
| 摘要点击 2348 全文点击 854 投稿时间：2020-03-24 修订日期：2020-08-30 |
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| DOI编号 10.7641/CTA.2020.00163 |
| 2021,38(4):457-466 |
| 中文关键词 协同自动巡航控制系统 状态估计 滚动时域估计 约束 |
| 英文关键词 cooperative automated cruise control systems state estimation receding horizon estimation constraints |
| 基金项目 国家自然科学基金项目(61773345), 浙江省属高校基本科研业务费项目(RF–C2020003)资助. |
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| 中文摘要 |
| 考虑云平台监控下的网联车辆协同自动巡航控制(CACC)系统, 提出一种快速滚动时域估计方法. 采用网
联车队纵向动力学模型描述网联车辆CACC系统, 降低网联车辆CACC系统的状态能观性要求. 再应用块概念设计
滚动时域估计算法的噪声块结构, 压缩滚动时域估计问题的优化变量个数, 从而减少其在线计算量. 进一步, 应用
李雅普诺夫稳定性定理证明估计误差系统的渐近稳定性. 最后以5车网联车队系统仿真验证所提算法的有效性. |
| 英文摘要 |
| This paper proposes a fast receding horizon estimation method for cooperative automated cruise control
(CACC) systems of connected vehicles monitored in cloud platform. The CACC system of connected vehicles is represented
by the longitudinal dynamic models of connected vehicle platoons, which reduces the requirements of state observability
of the CACC system of connected vehicles. Then the concept of “move blocking”is applied to design the noise block
structure of the receding horizon estimation algorithm, where the number of optimization variables of the optimization
problem is compressed to reduce the on-line computation. Furthermore, the Lyapunov stability theorem is used to prove
asymptotic stability of the estimation error system. Finally, the effectiveness of the proposed algorithm is verified by the
simulation of a five-connected vehicle fleet system. |