摘要
针对快速路系统复杂时变和难于建立精确数学模型的特点,提出基于无模型自适应控制的入口匝道控制方案,控制方案包括控制算法、参数估计算法和参数重置算法。该方案的设计无需精确的数学模型,只依赖于受控对象的实测数据。从而设计并开发了相应的入口匝道控制系统,主要包括上位机、基于高级精简指令集机器(Advanced RISC Machines,ARM)的入口匝道控制器、检测器和信号灯。为了验证基于无模型自适应控制的入口匝道控制系统的有效性,利用基于微观交通仿真软件(Parallel microscopic simulator,PARAMICS)的仿真机模拟北京市北四环西路快速路网,生成相应的检测数据发送给入口匝道控制器并接收入口匝道控制器的控制信号实现快速路网的实时控制。实验结果表明,开发的基于无模型自适应控制的入口匝道控制系统具有良好的控制效果。
Considering the complex time-varying urban freeway traffic system,which is difficult to establish an accurate mathematical model,an on-ramp control scheme is designed based on model free adaptive control（ MFAC） in this paper. The designed control scheme includes control algorithm,parameter estimation algorithm and parameter reset algorithm. The control scheme design does not need a precise mathematical model,which only depends on the real-time measured data of the controlled object. Furthermore,a corresponding on-ramp control system is designed and developed,which includes PC,on-ramp controller based on ARM,detector and lights. In order to verify the validity of the MFAC based on-ramp control system,the software simulator based on PARAMICS is used to simulate the North Fourth Ring Road in Beijing fast road network,generate the detecting data which is sent to the on-ramp controller,and receive the control signal sent by on-ramp controller to realize the real-time control of the fast road network. The experimental results show that the developed MFAC based on-ramp control system has good control effect.
出处
《森林工程》
2015年第1期97-102,共6页
Forest Engineering
基金
国家自然科学基金资助项目(61120106009)
中央高校基本科研业务费(2014JBM005)
