Vehicle following algorithm realization based on flexible curved bar
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摘要: 针对前车有加速度和转弯时无法保证跟踪精度的困难,提出一种柔性曲杆的新算法应用于车辆自动跟踪.假设前后车间有一根虚拟柔性曲杆联接着,杆长等于前后车间沿着前车轨迹线的距离长,杆的弯曲变形与前车的转弯半径相同.利用短圆弧半径来记录前车转弯半径,解决了传统轨迹方程不平滑连续的问题;对于后车跟踪的速度控制,设计了一个基于杆长与安全距离的加速度分类模糊集,用以更新后车的线速度,避免了后车行驶中出现的磕头现象.最后,在三维机器人仿真软件中进行实体编程仿真,结果表明该方法具有可行性,轨迹跟踪误差达到1 cm以下.Abstract: To solve the tracking accuracy problem of vehicle following system, when the leader vehicle was accelerating or turning, a novel algorithm based on a virtual flexible curved bar was proposed to apply for vehicle following. A virtual flexible curved bar was supposed to connect the leader and the follower. The curved bar was as long as the distance between the leader and the follower, while the bar arc fitted the leader-s curved path. The radiuses of the short arcs were recorded sequentially as the radiuses of leader trajectory to make the trajectory smooth and continuous. An acceleration fuzzy set was designed according to the bar length and the safe distance to update the follower-s velocity, in order to avoid the kowtow phenomenon during the following motion. Finally, some simulations were implemented in the three-dimensional robot simulation software. The results show that the method can be used in reality and the trajectory tracking accuracy can reach below 1 cm.
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[1] Mo Y K,Deng J.Fundamentals of intelligent public transportation dispatching systems planning //2009 Second ISECS International Colloquium on Computing,Communication,Control,and Management(CCCM 2009).Piscataway:IEEE Computer Society,2009:41-44 [2] Anagnostopoulos C N E,Anagnostopoulos I E,Loumos V,et al.A license plate-recognition algorithm for intelligent transportation system applications [J].IEEE Transactions on Intelligent Transportation Systems,2006,7(3):377-392 [3] Ge H X,Zhu H B,Dai S Q.Cellular automaton traffic flow model considering intelligent transportation system[J].Acta Physica Sinica,2005,54(10):4621-4626 [4] Zhou X,Yu Q,Rong J,et al.Research of traffic guidance system based on narrowband data communication //2007 IEEE Intelligent Vehicles Symposium(IV 2007).Piscataway:Institute of Electrical and Electronics Engineers Inc,2007:523-527 [5] Tsugawa S,Kato S,Tokuda K,et al.A cooperative driving system with automated vehicles and inter-vehicle communication in DEMO2000 // 2001 IEEE Intelligent Transportation Systems Proceedings.Piscataway:Institute of Electrical and Electronics Engineers Inc,2001:918-923 [6] Pham H.Development and implementation of a trajectory planner and a tracking controller for an autonomous vehicle .Singapore:School of Electrical and Electronic Engineering ,Nanyang Technological University,2001 [7] Stefan K,Fridtjof J.A trajectory-based approach for the lateral control of vehicle following system // Proceedings of the 1998 IEEE International Conference on Systems,Man and Cybernetics.Piscataway,NJ:IEEE,1998:3596-3601 [8] Borodani P. Full automatic control for trucks in a tow-bar system //Proceedings of International Symposium on Advanced Vehicle Control,2000:131-138 [9] Ng T C,Guzman J I,Adams M D.Autonomous vehicle following systems:a virtual trailer link model // 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2005).Canada:IEEE,2005:2968-2973 [10] Ng T C.Autonomous vehicle following-a virtual trailer link approach .Singapore:Singapore Institute of Manufacturing Technology,Singapore Institate of Manufacturing Technology Nanyang Technological University,2009 [11] Ng T C,Adams M D,Guzman J I.Bayesian estimation of follower and leader vehicle poses with a virtual trailer link model[J].International Journal of Robotics Research,2008,27(1):91-106 [12] 张辉.非完整性移动机器人体系结构设计与轨迹跟踪控制研究 .长沙:湖南大学,电气与信息工程学院,2007 Hui Zhang,The System Structure Design and Trajectory Tracking Control Research Nonholonomic Robot .Changsha:Institute of electrical and information engineering,Hunan University,2007(in Chinese) [13] 付安新.基于DSP的嵌入式机器人视觉系统的设计与实现 .杭州:浙江大学,电气工程学院,2006 Fu Anxin.Embeded root visiom system based on DSP .Hangzhou:School of Electrical Engineering,Zhejang University,2006(in Chinese) [14] Kyle J,Trevor T.Programming microsoft robotics studio [M].Indianapolis:John Wiley & Sons,2005:24-26 [15] 陈俊文.基于MRDS的工业机器人仿真研究 .哈尔滨:哈尔滨工业大学,深圳研究生院.2009 Chen Junwen.The simulation research of industy robot based on MDRS .Haerbing:Graduate School in Shenzhen,Harbin Institute of Technology,2009(in Chinese)
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