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，用于估计线控制动系统中的夹紧力和冗余信息的最佳利用。 EMB 系统中冗余信息的有效集成有望显着提高此类系统的可靠性和容错能力。通过融合更容易获得的测量结果，精确估计锁模力信号，也将消除电动卡钳中昂贵且复杂的锁模力测量传感器的需求。所提出的数据融合技术的开发会影响未来 EMB 的设计，并增强现有线控制动系统的功能。