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基于虚拟样机技术的重型汽车ABS模糊控制研究
  • ISSN号:1000-7857
  • 期刊名称:科技导报
  • 时间:2013
  • 页码:5-11
  • 分类:TP391.9[自动化与计算机技术—计算机应用技术;自动化与计算机技术—计算机科学与技术]
  • 作者机构:[1]石家庄铁道大学机械工程学院,石家庄050043
  • 相关基金:国家自然科学基金项目(11072159);河北省自然科学杰出青年基金项目(E2012210025)
  • 相关项目:复杂工况下重型汽车的非线性动力学研究
中文摘要:

在ADAMS/Car中建立三轴重型载货汽车的虚拟样机模型,包括前后悬架、动力总成、转向系统、稳定杆、制动系、轮胎及车身,同时还考虑了轮胎、悬架弹簧、减振器等部件的非线性。利用Matlab/Simulink建立了基于滑移率的防抱死制动系统ABS模糊控制系统。分别在高附着路面、低附着路面及分离系数路面上进行不同载重下的直线制动仿真,计算汽车制动时的动态特性。并与无ABS的常规制动进行比较。结果表明,本文设计的基于滑移率的ABS模糊控制策略对于重型汽车具有良好的控制效果。使车轮的滑移率控制在最佳滑移率附近,防止了车轮的抱死,在制动距离、制动时间及制动稳定性方面都有较突出的优势。

英文摘要:

An anti-lock braking system for a heavy vehicle was simulated based on ADAMS and Matlab/Simulink. A nonlinear heavy vehicle dynamic model was built in ADAMS/Car, including the front and the rear suspension systems, the vehicle body, the engine system, the steering system, the antiroll system, the brake system, and the tire dynamic model. The nonlinear characteristics of the tire, the bushing spring and the damper were considered so as to reveal the dynamic performance of the vehicle accurately. A fuzzy control Anti-lock Braking System (ABS) model based on the wheel slipping rate was built in Matlab/Simulink. Then the straight-line braking simulations were carried on three types of roads with high friction coefficient, low friction coefficient and split friction coefficient under different vehicle loads. In a joint simulation, the braking dynamic responses of the heavy vehicle were compared with the case of a general brake without ABS. It is shown that the ABS fuzzy control based on the slipping rate as designed in this paper performs vel7 well for the heavy vehicle. The wheel slipping ratio could be maintained near the optimal slipping ratio, and each wheel is prevented from locking up. In addition, the braking distance, the braking time, and the braking stability are greatly improved.

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期刊信息
  • 《科技导报》
  • 北大核心期刊(2011版)
  • 主管单位:中国科学技术协会
  • 主办单位:中国科学技术协会
  • 主编:项昌乐
  • 地址:北京市海淀区学院南路86号科技导报社
  • 邮编:100081
  • 邮箱:kjdbbjb@cast.org.cn
  • 电话:010-62138113
  • 国际标准刊号:ISSN:1000-7857
  • 国内统一刊号:ISSN:11-1421/N
  • 邮发代号:2-872
  • 获奖情况:
  • 国内外数据库收录:
  • 俄罗斯文摘杂志,美国化学文摘(网络版),英国农业与生物科学研究中心文摘,波兰哥白尼索引,美国乌利希期刊指南,美国剑桥科学文摘,英国科学文摘数据库,中国中国科技核心期刊,中国北大核心期刊(2008版),中国北大核心期刊(2011版),中国北大核心期刊(2014版)
  • 被引量:24858