吉林大学学报(工学版) ›› 2013, Vol. 43 ›› Issue (增刊1): 514-520.

• 论文 • 上一篇    下一篇

"车适应人"线控汽车理想特性参考模型神经网络建模

宗长富1, 林娜1, 李刚1, 张泽星1, 程卫1, 郑宏宇1, 刘明辉1,2   

  1. 1. 吉林大学 汽车仿真与控制国家重点实验室, 长春 130022;
    2. 中国第一汽车集团公司 技术中心, 长春 130011
  • 收稿日期:2012-05-09 发布日期:2013-06-01
  • 通讯作者: 郑宏宇(1980-),男,讲师,博士.研究方向:汽车动力学仿真与控制.E-mail:zhenghy@jlu.edu.cn E-mail:zhenghy@jlu.edu.cn
  • 作者简介:宗长富(1962-),男,教授,博士生导师.研究方向:汽车动力学仿真与控制. E-mail:cfzong@ yahoo.com.cn
  • 基金资助:

    汽车仿真与控制国家重点实验室开放基金项目(20121123);吉林大学大学生创新性试验项目(2011C42107);国家自然科学基金项目(51105165).

Neural network modeling of ideal characteristics reference model for "car adaption for driver" X-by-wire vehicle

ZONG Chang-fu1, LIN Na1, LI Gang1, ZHANG Ze-xing1, CHENG Wei1, ZHENG Hong-yu1, LIU Ming-hui1,2   

  1. 1. State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, China;
    2. China Faw Group Corporation R&D Center, Changchun 130011, China
  • Received:2012-05-09 Published:2013-06-01

摘要:

针对线控汽车上通过对各个线控系统地集成控制以实现个性化理想汽车动力学特性即"车适应人"问题,进行了线控汽车理想特性参考模型神经网络建模研究。对驾驶员特性进行了初步分类,给出了汽车理想特性控制原理;设计了汽车驾驶模拟器实验,进行了理想特性参考模型神经网络建模;对模型精度、特性反映程度和实时性进行了实验验证。研究表明,所建立的理想特性参考模型精度高、实时性好,能反映不同驾驶特性,建模方法具有可行性。

关键词: 车辆工程, 线控汽车, 集成控制, 车适应人, 理想特性参考模型, 神经网络建模

Abstract:

This paper studied on the neural network modeling of X-by-wire vehicle ideal characteristics reference model to achieve "car adaption for driver", which are achieved by integrating the X-by-wire systems. The driver characteristics were classified and the control principle of car ideal characteristics was given. The car driving simulator experiment was designed and the neural network modeling for the ideal characteristics reference model was studied. The accuracy of model, degree of reflecting characteristics and real-time of model were verified by experiments. The results show that the reference model with ideal characteristics has high precision, real-time and can reflect different driving characteristics, so the method is feasible.

Key words: vehicle engineering, X-by-wire vehicle, integrated control, car adaption for driver, ideal characteristics reference model, neural network modeling

中图分类号: 

  • U463.1

[1] 王畅.基于隐形马尔科夫模型的驾驶员意图辨识方法研究[D].长春:吉林大学汽车工程学院,2011. Wang Chang. Research on driving intention identification based on hidden Markov model[D]. Chang Chun: College Automotive Engineering, Jilin University, 2011.

[2] Seungwuk Moon, Wanki Cho, Kyongsu Yi. Intelligent vehicle safety control strategy in various driving situations[J].Vehicle System Dynamics, 2010, 48: 537-554.

[3] Filev D, Lu J B, Asante K P, et al. Real-time driving behavior identification based on driver-in-the-loop vehicle dynamics and control[C]//Proceedings of the 2009 IEEE International Conference on Systems, Man, and Cybernetics, San Antonio TX USA, 2009.

[4] Lu Jian-bo, Filev Dimitar, Prakah-Asante Kwaku, et al. From vehicle stability control to intelligent personal minder: real-time vehicle handling limit warning and driver style characterization[C]//Computational Intelligence in Vehicles and Vehicular Systems, 2009.

[5] Lu Jian-bo. Modern vehicle dynamics and controls for automotive adaptation, personalization and safety.The International Forum on Advanced Vehicle Technologies and Integration(VTI),Changchun China, 2011.

[6] Ye Jian, Ge Lin-dong, Wu Yue-xian. An application of improved RBF neural network in modulation recognition[J]. Acta Automatica Sinica,2007,33(6):652-654.

[7] 宗长富,郑宏宇,田承伟,等. 线控转向稳态增益与动态反馈校正控制算法[J].汽车工程,2007,29(8):686-691. Zong Chang-fu, Zheng Hong-yu, Tian Cheng-wei, et al. Steady-state gain and dynamic feedback correction algorithm for steer-by-wire[J]. Automotive Engineering, 2007, 29(8):686-691.

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