Data Fusion Techniques for Electro-Mechanical Braking Systems

机电制动系统数据融合技术

• 批准号: LP0561923
• 负责人: Prof Alireza Bab-Hadiashar
• 金额: $ 13.1万
• 依托单位: Swinburne University of Technology
• 依托单位国家: 澳大利亚
• 项目类别: Linkage Projects
• 财政年份: 2005
• 资助国家: 澳大利亚
• 起止时间: 2005-09-16 至 2008-09-15
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/LP0561923
• 关键词: Data; Fusion; Techniques; Electro; Mechanical

The main focus of this project is to develop data fusion techniques for clamp force estimation and optimum utilisation of redundant information in a brake-by-wire system. Efficient integration of redundant information in an EMB system is expected to significantly improve the reliability and fault tolerance of such systems. The need for costly and complicated clamp force measurement sensors in electric callipers will also be eliminated by accurate estimation of the clamp force signal, through fusion of more readily available measurements. Development of the proposed data fusion techniques influences the design of future EMBs and enhances the functionality of existing brake-by-wire systems.

该项目的主要重点是开发数据融合技术，用于夹紧力估计和最佳利用串联系统中的冗余信息。预期在EMB系统中冗余信息的有效整合将显着提高此类系统的可靠性和容错性。通过融合更容易获得的测量值，还可以通过准确估算夹具力信号的准确估算来消除对电动卡钳中昂贵且复杂的夹具测量传感器的需求。提出的数据融合技术的开发会影响未来EMB的设计，并增强现有的逐线系统的功能。