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GOALI: Safety-Preserved Estimation and Control of Tire/Road Interaction

GOALI: Safety-Preserved Estimation and Control of Tire/Road Interaction
GOALI:轮胎/道路相互作用的安全估计和控制
批准号:
0856095
负责人:
Jingang Yi
金额:
$24.6万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2008
资助国家:
美国
项目状态:
已结题
起止时间:
2008-07-30 至 2012-07-31

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中文摘要
翻译
GOALI项目的目标是建立一个基于传感器的建模框架,以实时预测和保存轮胎/路面相互作用的安全极限。轮胎/路面相互作用对汽车的安全运行起着重要作用。该项目将开发、实施和评估安全保护的轮胎/道路相互作用评估和控制方案。将追求以下三个目标:(1)传感器使能的轮胎/道路相互作用建模方案;(2)轮胎/道路相互作用安全极限估计和控制系统;(3)福特的技术实施和转让以及研究/教育一体化。本文的研究方法是将轮胎/路面摩擦物理模型和动态模型与分布式轮胎橡胶变形传感系统相结合。基于传感器启用的模型,将开发在线估计和控制策略,以预测轮胎/道路相互作用的安全极限,防止车辆不安全运行。该项目的成功将促进对轮胎/道路相互作用的基本理解,为建模轮胎/道路相互作用提供新的传感机制,提供新的知识和方法来实时估计正常驾驶条件下轮胎/道路相互作用的安全极限,而不需要进行严重和不安全的操纵,以及一种新的自适应控制方法来保护车辆安全。由此产生的方法在工业上的实施预计将产生广泛的经济和社会影响。拟议研究的直接应用之一将是推动智能轮胎的发展。汽车工业中的技术。该项目将为学生(K-12、本科生和研究生)提供多学科培训、接触重要的工业问题和实践经验。
英文摘要
The objective of this Grant Opportunity for Academic Liaison with Industry (GOALI) project is to establish a sensor-enabled modeling framework to real-time predict and preserve the safety limits of tire/road interaction. Tire/road interaction plays an important role for safe operation of motor vehicles. The project will develop, implement, and evaluate a safety-preserved tire/road interaction estimation and control scheme. The following three objectives will be pursued: (1) a sensor-enabled tire/road interaction modeling scheme; (2) a tire/road interaction safety-limit estimation and control system; and (3) technology implementation and transfer at Ford as well as research/education integration. The approach of this research is based on the integration of the physical and dynamic tire/road friction models with the distributed tire rubber deformation sensing system. Based on the sensor-enabled models, on-line estimation and control strategies will be developed to predict the safety limits of tire/road interaction and prevent vehicles from unsafe operation. The success of this project will advance fundamental understanding of tire/road interaction by providing new sensing mechanisms for modeling tire/road interaction, new knowledge and methodologies to real-time estimate the safety limits of tire/road interaction under normal driving conditions without the need of severe and unsafe maneuvers, and a new adaptive control methodology to preserve vehicle safety. Industrial implementation of the resulting methodology is expected to generate broad economic and societal impacts. One of the direct applications of the proposed research will be to advance the ?smart tire? technology in the automotive industry. The project will provide students (at the K-12, the undergraduate and graduate levels) with multidisciplinary training, exposure to important industrial problems, and practical experience.
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