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行人防碰撞系统制动控制建模与联合仿真
引用本文:葛平淑,徐国凯,郭 烈,任泽建.行人防碰撞系统制动控制建模与联合仿真[J].大连民族学院学报,2015,17(5):472-477.
作者姓名:葛平淑  徐国凯  郭 烈  任泽建
作者单位:1.大连民族大学 机电信息工程学院,辽宁 大连 116605;
2.大连理工大学 汽车工程学院,辽宁 大连 116024
基金项目:国家自然科学基金资助项目(51305065);中央高校基本科研业务费专项资金资助项目(DC201502010306)。
摘    要:为了体现现有汽车主动防撞系统对车外行人等交通弱势群体的主动安全保护,对行人防碰撞预警系统中自动制动控制进行了研究。在车辆获取到前方行人基本信息的基础上,设计了考虑行人安全的安全状态判断模型,建立了基于Carsim和Simulink的车辆纵向动力学模型,采用加速度滑模控制方法设计了获取本车期望加速度的上位控制器,单神经元PID控制设计了跟踪这一期望加速度的下位控制器,最后对典型的行人危险场景进行联合仿真。试验表明所设计的控制算法对避撞行人有较好的响应,并且能在保证一定的安全距离的前提下实现自动制动,保证了行车的安全性。

关 键 词:行人防碰撞预警  纵向动力学模型  加速度滑模控制  单神经元PID控制  联合仿真  

Modeling and Co-simulation of Automatic Braking Control for Pedestrian Collision Avoidance System
GE Ping-shu,XU Guo-kai,GUO Lie,REN Ze-jian.Modeling and Co-simulation of Automatic Braking Control for Pedestrian Collision Avoidance System[J].Journal of Dalian Nationalities University,2015,17(5):472-477.
Authors:GE Ping-shu  XU Guo-kai  GUO Lie  REN Ze-jian
Institution:1.College of Electromechanical & Information Engineering, Dalian Nationalities University, Dalian Liaoning 116605, China;
2.School of Automotive Engineering, Dalian University of Technology, Dalian Liaoning 116024, China
Abstract:To realize the active safety protection of pedestrian and other vulnerable groups of current vehicle active collision avoidance system, the automatic braking control of the pedestrian collision avoidance system is studied. The safety state assessment model is designed after obtaining the pedestrian information ahead of vehicle. The vehicle longitudinal dynamics model is created utilizing Carsim and Simulink. The desired acceleration of the host vehicle is generated by the upper controller based on sliding model control. A bottom controller, which aims to track the desired acceleration, is designed based on the single neuron PID control. Several typical pedestrian protection scenarios are presented. Results show that the designed controller has a good response in preventing pedestrian collision. The vehicle can brake automatically while keeping a safety distance between the pedestrian and vehicle, improving vehicle driving safety.
Keywords:pedestrian collision avoidance  longitudinal dynamics model  acceleration sliding mode control  single neuron PID  co-simulation  
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