| 车辆路面附着条件自辨识模型研究 |
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| 引用本文： | 崔宏耀,王启文.车辆路面附着条件自辨识模型研究[J].黑龙江工程学院学报,2014(1):1-4,19. |
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| 作者姓名： | 崔宏耀 王启文 |
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| 作者单位： | 黑龙江工程学院汽车与交通工程学院,黑龙江哈尔滨150050 |
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| 基金项目： | 哈尔滨市科技局青年科技创新人才资助项目（RC2011QN007006） |
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| 摘 要： | 车辆的主动安全性问题和操纵稳定性问题受到广泛的关注,自主辨识道路附着条件可有效提高车辆在行驶过程中的安全稳定性.实时识别道路的状况,有利于车辆稳定性控制系统、防滑控制系统充分利用极限驱动力或制动力,保证车辆行驶安全性.以冰雪及湿滑等路面的附着条件辨识为重点研究内容,通过采集相关参数,利用模糊控制器对车辆动、稳态操控输入条件下车辆的响应辨识路面附着条件.
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| 关 键 词： | 路面附着条件 自动辨识 模糊控制 仿真 模型 |
A study of road adhesion automatic identification |
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| CUI Hong-yao,WANG Qi-wen.A study of road adhesion automatic identification[J].Journal of Heilongjiang Institute of Technology,2014(1):1-4,19. |
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| Authors: | CUI Hong-yao WANG Qi-wen |
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| Affiliation: | (College of Automobile and Traffic Engineering, Heilongiiang Institute of Technology, Harbin 150050, China) |
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| Abstract: | Currently, the car＇s active safety and handling stability problems have been widely concerned. Autonomous vehicle identification can effectively improve road conditions attached to cars in the process of security and stability. Real-tiine identification of road conditions is vital for the vehicle stability control system. Anti-skid control system makes full use of extreme driving force or braking force to ensure vehicle stability and driving safety. Taking snow and slippery road adhesion conditions identification as key case a variety of vehicle acquisition-related parameters are collected for the fuzzy controller in the vehicle moving and steady state control to input the conditions in response to identify road adhesion. |
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| Keywords: | road adhesion automatic identification fuzzy contral simulate model |
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