引用本文:梁新荣,刘艳艳,满国永,徐建闽.基于小脑模型关节控制器与PID复合的高速公路交通流密度控制[J].控制理论与应用,2013,30(10):1281~1286.[点击复制]
LIANG Xin-rong,LIU Yan-yan,MAN Guo-yong,XU Jian-min.Density control for freeway traffic flow based on the composite of PID controller and cerebella model articulation controller[J].Control Theory and Technology,2013,30(10):1281~1286.[点击复制]
基于小脑模型关节控制器与PID复合的高速公路交通流密度控制
Density control for freeway traffic flow based on the composite of PID controller and cerebella model articulation controller
摘要点击 2634  全文点击 2224  投稿时间：2013-01-05  修订日期：2013-04-23
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DOI编号  10.7641/CTA.2013.30016
  2013,30(10):1281-1286
中文关键词  高速公路  匝道控制  交通流模型  小脑模型关节控制器  反馈控制
英文关键词  freeway  ramp control  traffic flow model  cerebella model articulation controller  feedback control
基金项目  广东省自然科学基金资助项目(S2012010010356).
作者单位E-mail
梁新荣 五邑大学 信息工程学院 xrliang55@126.com 
刘艳艳* 五邑大学 信息工程学院  
满国永 五邑大学 信息工程学院  
徐建闽 华南理工大学 土木与交通学院  
中文摘要
      高速公路交通控制系统是一个复杂的非线性时变系统, 传统的匝道控制方法难以取得满意的控制效果. 为此, 本文提出基于小脑模型关节控制器(CMAC)与PID复合的匝道控制方法. 首先建立了二阶宏观动态交通流模型, 然后研究了CMAC与PID复合控制算法, 结合非线性反馈理论, 设计了基于CMAC与PID复合的高速公路交通流密度控制器, 该密度控制问题是一个输出跟踪和扰动抑制问题, 最后采用两个仿真实例对该方法的有效性进行验证. 结果表明, 复合控制具有优越的密度跟踪性能和抑制噪声干扰的能力; 复合控制方法能够有效地消除交通拥挤, 并使主线车流趋于稳定.
英文摘要
      Freeway traffic control system is a complex nonlinear and time-varying system; for which the results of conventional ramp control methods are not satisfactory. A new method based on the composite of PID controller and cerebella model articulation controller (CMAC) is proposed for ramp control in this paper. First, a second-order macroscopic dynamic traffic flow model is built; and then, the algorithm of the composite control of CMAC and PID is studied. In conjunction with nonlinear feedback theory, a density controller of freeway traffic flow based on the composite of CMAC and PID is designed, and the density control problem is formulated as an output tracking and disturbance rejection problem. Finally, the effectiveness of this new approach is validated by intensive simulations in two different cases. The results show that the composite controller has excellent tracking performance and noise rejection ability, effectively eliminating traffic congestions and stabilizing the traffic flow on freeway mainlines.