防抱死制动系统
稳健性(进化)
计算机科学
汽车工业
制动系统
汽车工程
模型预测控制
非线性系统
控制工程
水准点(测量)
车辆动力学
控制理论(社会学)
工程类
控制(管理)
制动器
人工智能
航空航天工程
基因
物理
化学
量子力学
大地测量学
生物化学
地理
作者
Francesco Pretagostini,Laura Ferranti,G Berardo,Valentin Ivanov,Barys Shyrokau
出处
期刊:IEEE Access
[Institute of Electrical and Electronics Engineers]
日期:2020-01-01
卷期号:8: 10951-10970
被引量:97
标识
DOI:10.1109/access.2020.2965644
摘要
<p>Since their introduction, anti-lock braking systems (ABS) have mostly relied on heuristic, rule-based control strategies. ABS performance, however, can be significantly improved thanks to many recent technological developments. This work presents an extensive review of the state of the art to verify such a statement and quantify the benefits of a new generation of wheel slip control (WSC) systems. Motivated by the state of the art, as a case study, a nonlinear model predictive control (NMPC) design based on a new load-sensing technology was developed. The proposed ABS was tested on Toyota's high-end vehicle simulator and was benchmarked against currently applied industrial controller. Additionally, a comprehensive set of manoeuvres were deployed to assess the performance and robustness of the proposed NMPC design. The analysis showed substantial reduction of the braking distance and better steerability with the proposed approach. Furthermore, the proposed design showed comparable robustness against external factors to the industrial benchmark.</p>
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