Suppr超能文献

用于汽车悬架创新最优控制的实验传感器网络

Experimenting Sensors Network for Innovative Optimal Control of Car Suspensions.

作者信息

Pepe Gianluca, Roveri Nicola, Carcaterra Antonio

机构信息

Department of Mechanical and Aerospace Engineering, Sapienza University of Rome, 00184 Rome, Italy.

出版信息

Sensors (Basel). 2019 Jul 11;19(14):3062. doi: 10.3390/s19143062.

Abstract

This paper presents an innovative electronically controlled suspension system installed on a real car and used as a test bench. The proposed setup relies on a sensor network that acquires a large real-time dataset collecting the car vibrations and the car trim and, through a new controller based on a recently proposed theory developed by the authors, makes use of adjustable semi-active magneto-rheological dampers. A BMW series 1 is equipped with such an integrated sensors-controller-actuators device and an extensive test campaign, in real driving conditions, is carried out to evaluate its performance. Thanks to its strategy, the new plant enhances, at once, both comfort and drivability of the car, as field experiments show. A benchmark analysis is performed, comparing the performance of the new control system with the ones of traditional semi-active suspensions, such as skyhook devices: the comparison shows very good results for the proposed solution.

摘要

本文介绍了一种安装在实际汽车上并用作试验台的创新型电子控制悬架系统。所提出的装置依赖于一个传感器网络,该网络获取大量实时数据集,收集汽车振动和车身姿态数据,并通过基于作者最近提出的理论的新型控制器,利用可调半主动磁流变阻尼器。一辆宝马1系汽车配备了这种集成的传感器-控制器-执行器装置,并在实际驾驶条件下进行了广泛的测试活动,以评估其性能。现场实验表明,得益于其策略,新装置同时提高了汽车的舒适性和驾驶性能。进行了基准分析,将新控制系统的性能与传统半主动悬架(如天钩装置)的性能进行了比较:比较结果表明所提出的解决方案效果非常好。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/faee/6679211/908c84993dc1/sensors-19-03062-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验