Lie Guo, Zejian Ren, Pingshu Ge, Jing Chang
School of Automotive Engineering, Dalian University of Technology, Dalian 116024, China.
College of Electromechanical & Information Engineering, Dalian Nationalities University, Dalian 116600, China.
ScientificWorldJournal. 2014;2014:218246. doi: 10.1155/2014/218246. Epub 2014 Jul 6.
Automotive collision avoidance system, which aims to enhance the active safety of the vehicle, has become a hot research topic in recent years. However, most of the current systems ignore the active protection of pedestrian and other vulnerable groups in the transportation system. An advanced emergency braking control system is studied by taking into account the pedestrians and the vehicles. Three typical braking scenarios are defined and the safety situations are assessed by comparing the current distance between the host vehicle and the obstacle with the critical braking distance. To reflect the nonlinear time-varying characteristics and control effect of the longitudinal dynamics, the vehicle longitudinal dynamics model is established in CarSim. Then the braking controller with the structure of upper and lower layers is designed based on sliding mode control and the single neuron PID control when confronting deceleration or emergency braking conditions. Cosimulations utilizing CarSim and Simulink are finally carried out on a CarSim intelligent vehicle model to explore the effectiveness of the proposed controller. Results display that the designed controller has a good response in preventing colliding with the front vehicle or pedestrian.
旨在提高车辆主动安全性的汽车碰撞避免系统,近年来已成为一个热门研究课题。然而,当前的大多数系统都忽视了对交通系统中行人及其他弱势群体的主动保护。本文考虑行人和车辆,研究了一种先进的紧急制动控制系统。定义了三种典型的制动场景,并通过比较主车与障碍物之间的当前距离和临界制动距离来评估安全状况。为反映纵向动力学的非线性时变特性和控制效果,在CarSim中建立了车辆纵向动力学模型。然后,针对减速或紧急制动情况,基于滑模控制和单神经元PID控制设计了具有上下层结构的制动控制器。最后,在CarSim智能车辆模型上利用CarSim和Simulink进行联合仿真,以探究所提出控制器的有效性。结果表明,所设计的控制器在防止与前车或行人碰撞方面具有良好的响应。