A Closed-loop FMPC of Optimal Velocities for Connected Vehicles

被引：2
|
作者：
Qiu L. [1 ,2 ]
Qian L. [1 ]
Du Z. [2 ]
Wang J. [1 ]
机构：
[1] School of Automotive and Transportation Engineering, Hefei University of Technology, Hefei
[2] Clemson University International Center for Automotive Research, Greenville, 29607, NC
来源：
Zhongguo Jixie Gongcheng/China Mechanical Engineering | 2017年 / 28卷 / 10期
关键词：
Closed-loop control; Cloud computing; Connected vehicle; Fast model predictive control(FMPC); Velocity prediction;
D O I：
10.3969/j.issn.1004-132X.2017.10.018
中图分类号：
学科分类号：
摘要：
In order to solve the optimal velocity prediction problems of multiple vehicles in the intelligent transportation system, improve fuel economy of the vehicles and execution efficiency of the control algorithm, a signal phase and timing based method was presented to calculate the ranges of the target velocity thus red light stoppage might be avoided. A modeling method of model predictive control was put forward based on the tracking of the optimal cruising velocities and optimal accelerations. A closed-loop velocity predictive control incorporating with efficiency feedback was formulated and FMPC was adopted to evaluate the optimal velocity profiles. The cloud-computing based software-in-the-loop simulation results indicate that, based on the proposed method, red light idling and collision may be avoided. Compared with baseline method 1 and 2, the average fuel economy improves 6.44% and 37.1% respectively. Compared with baseline method 1, the average propulsion efficiency improves 7.13%. The execution efficiency of FMPC is 13 times higher than that of MPC, and real time control may be achieved since the operation time of a single step is shorter than the step size. © 2017, China Mechanical Engineering Magazine Office. All right reserved.
引用
收藏
页码：1245 / 1252
页数：7
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