运载工程:2017,Vol:36,Issue(9):1434-1440
引用本文:
陈学文, 张进国, 刘伟川, 朱甲林, 李刚. 汽车巡航系统前方关键目标识别研究[J]. 机械科学与技术
Chen Xuewen, Zhang Jinguo, Liu Weichuan, Zhu Jialin, Li Gang. Research on Key Target Distinguishing Method of Automobile Cruise System[J]. Journal Of Remote Sensing

汽车巡航系统前方关键目标识别研究
陈学文, 张进国, 刘伟川, 朱甲林, 李刚
辽宁工业大学汽车与交通工程学院, 辽宁锦州 121001
摘要:
针对巡航系统在弯道行驶路段常出现目标车混乱或丢失的现象,应用扩展卡尔曼滤波理论进行巡航系统前方弯道关键目标识别研究。建立纵向、侧向与横摆的非线性三自由度车辆模型,设计了横摆角速度的扩展卡尔曼滤波器,实现了道路曲率的在线实时估计。建立了弯道关键目标识别模型并给定了关键目标判定依据。采用模糊控制理论,设计了多目标车换道模糊逻辑控制器,预判危险换道车辆,确定了直道行驶的关键目标车。利用MATLAB/Simulink搭建立了三自由度车辆模型的扩展卡尔曼滤波器仿真模块,采用双移线输入实现了车辆横摆角速度与质心侧偏角估计的验证。在Carsim中构建车辆模型、传感器模型及道路模型等仿真环境,实现了与Simulink控制模块的联合仿真,验证了弯道多目标行驶及直道行驶工况下关键目标的准确识别,结果表明:采用扩展卡尔曼滤波理论的弯道目标识别方法能够准确判定弯道关键目标,有效避免系统在弯道路段因目标混乱或丢失而造成的追尾事故。基于模糊控制理论的关键目标模糊判别方法可预判直道行驶危险换道车辆并准确识别关键目标。
关键词:    巡航系统    关键目标    扩展卡尔曼滤波    横摆角速度    仿真   
Research on Key Target Distinguishing Method of Automobile Cruise System
Chen Xuewen, Zhang Jinguo, Liu Weichuan, Zhu Jialin, Li Gang
Institute of Automobile and Traffic Engineering, Liaoning University of Technology, Liaoning Jinzhou 121001, China
Abstract:
Adopting the extend Kalman filter theory, a key target distinguishing method is researched in order to avoid the goal confusion or missing of automobile cruise control system (ACC) on the curve road. An extend Kalman filter on yaw rate and a key target distinguishing model are established to estimate the road curvature in real time and decide the critical target based on a nonlinear three-DOF vehicle model including the longitudinal, lateral and yaw direction. Adopting the fuzzy control theory, a multi-object lane-changing controller is presented to prejudge the danger lane-changing objects and distinguish out the key target on the straight road. A simulation model is elaborated with MATLAB/Simulink to validate the estimation of yaw rate and side slip angle under high-speed double lane input conditions. Simulation experiments are given for multiple targets in the curve road by adopting Carsim and MATLAB/Simulink co-simulation under building vehicle, sensor and road models in the Carsim conditions. The simulation results show that the key target distinguishing methods can identify accurately the key target, and avoid effectively rear-end collisions owing to the goal confusion or missing on the curve road, and prejudge the danger lane-changing objects on the straight road.
Key words:    automobile cruise control system    key target    extend Kalman filtering    yaw rate    simulation   
收稿日期: 2016-03-18     修回日期:
DOI: 10.13433/j.cnki.1003-8728.2017.0920
基金项目: 国家自然科学基金项目(E51305190)、辽宁省科技厅计划项目(201602368)及辽宁省教育厅项目(L2014240)资助
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作者简介: 陈学文(1974-),副教授,博士,硕士生导师,研究方向为汽车系统动力学及控制,xuewen.chen@163.com
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参考文献:
[1] Tsai C C, Hsieh S M, Chen C T. Fuzzy longitudinal controller design and experimentation for adaptive cruise control and stop&go[J]. Journal of Intelligent & Robotic Systems, 2010,59(2):167-189
[2] Caruntu C F. Networked predictive cruise control for road vehicles[C]//201319th International Conference on Control Systems and Computer Science (CSCS), May 29-31, 2013, Bucharest. Bucharest:IEEE, 2013:203-209
[3] Sivaji V V, Sailaja D M. Adaptive cruise control systems for vehicle modeling using stop and go manoeuvres[J]. International Journal of Engineering Research and Applications, 2013,3(4):2453-2456
[4] 裴晓飞,刘昭度,马国成,等.基于节气门与制动联合控制的自适应巡航控制系统[J].汽车工程,2013,35(4):375-380 Pei X F, Liu Z D, Ma G C, et al. An adaptive cruise control system based on throttle/brakes combined control[J]. Automotive Engineering, 2013,35(4):375-380(in Chinese)
[5] 陈学文,李萍.汽车巡航控制方法及Simulink仿真[J].辽宁工程技术大学学报(自然科学版),2014,33(2):232-235 Chen X W, Li P. Control method and simulation of automobile cruise system[J]. Journal of Liaoning Technical University (Natural Science), 2014,33(2):232-235(in Chinese)
[6] M bus R, Baotic M, Morari M. Multi-object adaptive cruise control[M]//Maler O, Pnueli A. Hybrid Systems:Computation and Control. Berlin Heidelberg:Springer, 2003:359-374
[7] Eidehall A, Pohl J, Gustafsson F. Joint road geometry estimation and vehicle tracking[J]. Control Engineering Practice, 2007,15(12):1484-1494
[8] Moon S, Moon I, Yi K. Design, tuning, and evaluation of a full-range adaptive cruise control system with collision avoidance[J]. Control Engineering Practice, 2009,17(4):442-455
[9] Moona S, Kang H J, Yi K. Multi-vehicle target selection for adaptive cruise control[J]. Vehicle System Dynamics, 2010,48(11):1325-1343
[10] Rajamni R, Piyabongkarn D, Tsourapas V, et al. Parameter and state estimation in vehicle roll dynamics[J]. IEEE Transactions on Intelligent Transportation Systems, 2011,12(4):1558-1567
[11] 刘志峰,王建强,李克强.具有鲁棒特性的车载雷达有效目标确定方法[J].清华大学学报(自然科学版),2008,48(5):875-878 Liu Z F, Wang J Q, Li K Q. Robust vehicular radar target determination[J]. Journal of Tsinghua University (Science & Technology), 2008,48(5):875-878(in Chinese)
[12] 张德兆.基于弯道行驶的车辆自适应巡航控制[D].北京:清华大学,2011 Zhang D Z. Vehicular adaptive cruise control on curved road[D]. Beijing:Tsinghua University, 2011(in Chinese)
[13] 陈达兴.自适应巡航控制系统中前方有效目标识别算法研究[D].长春:吉林大学,2011 Chen D X. Research on relevant target selection algorithm of adaptive cruise control system[D]. Changchun:Jilin University, 2011(in Chinese)
[14] 焦新龙,米雪玉,王畅,等.车辆自适应巡航控制系统有效目标辨识算法[J].长安大学学报(自然科学版),2014,34(3):137-144 Jiao X L, Mi X Y, Wang C, et al. Valid target distinguish method of vehicle adaptive cruise control system[J]. Journal of Chang'an University (Natural Science Edition), 2014,34(3):137-144(in Chinese)
[15] 林程,周逢军,徐志峰,等.基于补偿自适应控制算法的车辆状态参数估计[J].农业机械学报,2014,45(11):1-8 Lin C, Zhou F J, Xu Z F, et al. Estimation of vehicle status parameters based on compensation adaptive control algorithm[J]. Transactions of the Chinese Society for Agricultural Machinery, 2014,45(11):1-8(in Chinese)
[16] Lee M H, Lee K S, Park H G, et al. Lateral controller design for an unmanned vehicle via Kalman filtering[J]. International Journal of Automobile Technology, 2012,13(5):801-807
[17] 李刚,解瑞春,卫绍元,等.基于信息融合技术的车辆行驶状态估计[J].计算机仿真,2014,31(10):183-186 Li G, Xie R C, Wei S Y, et al. Study of vehicle driving state estimation based on information fusion[J]. Computer Simulation, 2014,31(10):183-186(in Chinese)
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