公路货车逃生坡道的智能控制与参数计算

Q2 Business, Management and Accounting Journal of Engineering Project and Production Management Pub Date : 2022-09-01 DOI:10.32738/jeppm-2022-0024
Xinghua Hu, Hongbing Qin, Yaqi Zhu, Wei Liu, Gao Dai
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引用次数: 0

摘要

:为了降低失控车辆在卡车逃生坡道(TER)上制动时因方向偏离、车身侧翻和过度减速而导致二次事故的可能性,必须确保乘客和车辆的安全。基于动量定理,提出了一种TER的智能控制方法。在该方法中,在原始逃生车道上使用滚动阻力系数较小的斜坡集料,并建立了信息采集、制动装置控制和制动模块。通过这些模块,预先获得失控车辆的运行参数和控制参数,以控制失控车辆的操作状态。达到降低坡床集料制动效果,保证制动坡道最大限度利用的目的。最后,在MATLAB/Simulink仿真平台上对所提出的控制方法进行了仿真。结果表明,该控制方法可以实现失控车辆在不同速度、不同质量条件下的安全制动,对高速重载车辆的制动起到非常重要的作用。
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Intelligent Control and Parameter Calculation of Highway Truck Escape Ramp
: To reduce the probability of secondary accidents caused by the direction deviation, body rollover, and excessive deceleration of runaway vehicles during braking on a truck escape ramp (TER), the safety of the occupants and the vehicles must be ensured. Based on the momentum theorem, an intelligent control method for a TER is proposed. In the method, a slope aggregate with a small rolling resistance coefficient is used on the original escape lane, and the information acquisition, braking device control, and braking modules are established. Through these modules, the operation parameters and control parameters of the out-of-control vehicle are obtained in advance, to control the operation state of the runaway vehicle. Achieve the purpose of reducing the braking effect of the slope bed aggregate and ensuring maximum utilization of the braking ramp. Finally, the proposed control method is simulated on the MATLAB/Simulink simulation platform. The results show that the control method can realize safe braking of an out-of-control vehicle at various speeds and different mass conditions, and it can play a highly significant role in the braking of high-speed and heavy-duty vehicles.
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来源期刊
Journal of Engineering Project and Production Management
Journal of Engineering Project and Production Management Business, Management and Accounting-Business, Management and Accounting (miscellaneous)
CiteScore
2.30
自引率
0.00%
发文量
24
审稿时长
30 weeks
期刊最新文献
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