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工程设计学报
工程设计学报  2017, Vol. 24 Issue (1): 64-69    DOI: 10.3785/j.issn.1006-754X.2017.01.009
建模、分析、优化和决策     
基于灰色预测与滑模变结构的ABS仿真分析
邓涛, 李军营, 罗俊林, 周豪
重庆交通大学 机电与车辆工程学院, 重庆 400074
The simulation and analysis of ABS based on grey prediction and sliding mode variable structure
DENG Tao, LI Jun-ying, LUO Jun-lin, ZHOU Hao
School of Mechatronics & Automotive Engineering, Chongqing Jiaotong University, Chongqing 400074, China
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摘要：

为研究汽车制动防抱死系统（antilock brake system，ABS）的超前性、实时性与鲁棒性，结合灰色预测和滑模变结构控制方法，提出基于灰色预测GM（1，1）模型与滑模变结构控制的ABS综合控制算法，建立仿真模型进行数据的对比分析.结果表明：相对于单滑模或bang-bang控制，灰色预测与滑模变结构综合控制方法使汽车ABS超前运行，缩短了制动时间与制动距离；有助于缓解滑模变结构方法自身带来的抖动缺陷.因此，灰色预测与滑模变结构综合控制方法有助于提升ABS的响应速度、实时鲁棒性与人体舒适性.
关键词： ABS;  灰色预测;  滑模变结构;  仿真    
Abstract:

To study the advance, real-time and robustness of ABS, the ABS integrated control algorithm based on grey prediction GM (1, 1) model and sliding mode variable structure was proposed, which combined grey prediction control and sliding mode variable structure control method. Then, the ABS integrated control algorithm simulation model was established to compare and analyze the data. The results showed that the grey prediction and sliding mode variable structure integrated control algorithm could make ABS running to be advanced function, and could short braking time and braking distance compared with single sliding mode or bang-bang control method. Furthermore, it also could relieve the defect of fluctuation caused by sliding mode variable control algorithm, and could enhance the quick response of ABS. So the grey prediction and sliding mode variable structure integrated control algorithm can improve response speed,real-time robustness and comfort.
Key words: ABS    grey prediction    sliding mode variable structure    simulation
收稿日期: 2016-07-15 出版日期: 2017-02-28
CLC:  U462.3  
基金资助:

国家自然科学基金资助项目（51305473）；中国博士后科学基金资助项目（2014M552317）；重庆市博士后研究人员科研项目特别资助（xm2014032）；重庆市基础与前沿研究计划项目（cstc2013jcyjA60007）；重庆市教委科学技术研究项目（KJ120421）.
作者简介: 邓涛(1982-),男,江西新干人,教授,博士,从事混合动力研究,E-mail:d82t722@163.com.http://orcid.org//0000-0001-6881-9854
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引用本文:

邓涛, 李军营, 罗俊林, 周豪. 基于灰色预测与滑模变结构的ABS仿真分析[J]. 工程设计学报, 2017, 24(1): 64-69.

DENG Tao, LI Jun-ying, LUO Jun-lin, ZHOU Hao. The simulation and analysis of ABS based on grey prediction and sliding mode variable structure[J]. Chinese Journal of Engineering Design, 2017, 24(1): 64-69.

链接本文:

https://www.zjujournals.com/gcsjxb/CN/10.3785/j.issn.1006-754X.2017.01.009    或    https://www.zjujournals.com/gcsjxb/CN/Y2017/V24/I1/64

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