| Modeling, Analysis, Optimization and Decision |
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| 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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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.
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Received: 15 July 2016
Published: 28 February 2017
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基于灰色预测与滑模变结构的ABS仿真分析
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
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