Model-Based Real-Time Engine Diagnostics, Adaptation And Optimization

基于模型的实时发动机诊断、适应和优化

• 批准号: 1235461
• 负责人: Karolos Grigoriadis
• 金额: $ 20万
• 依托单位: University of Houston
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-10-01 至 2018-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1235461&HistoricalAwards=false
• 关键词: Model; Based; Real; Time; Engine

The research objective of this award is to develop methods for the feedback control of the coupled engine and catalyst systems in automotive vehicles seeking to further reduce fuel consumption and harmful emissions. The engine and the exhaust catalyst sub-systems are highly interdependent based on coupled operational constraints and interconnected dynamics with conflicting objectives. The research will employ first-principles and phenomenological models of the engine and the catalyst to address the air and fuel mixture regulation that dictates fuel consumption and exhaust emissions from the after-treatment system. Challenges to overcome are the varying transport delays in the feedback loop, the varying sampling rates due to event-based sampling and the highly nonlinear and varying dynamic of the coupled engine/catalyst system. A linear parameter varying feedback control methodology that is appropriately modified to address the above challenges will be investigated to regulate the engine air/fuel mixture based on post-catalyst sensor measurements for varying engine speed and load conditions.Is successful, the results of this research would lead to improvements in fuel economy and reduced harmful emissions from automotive vehicles. Proposed cooperation with the automotive industry will seek to transfer research results to technology that could impact future production vehicles. The proposed modeling and control methodology could benefit the other coupled complex systems, such as, material processing and energy conversion systems. The project has an educational goal of promoting inter-disciplinary teaching and research on electro-mechanical and chemical reaction systems and producing engineers that are diverse and pursue the benefit of society.

该奖项的研究目的是开发用于对汽车车辆中耦合发动机和催化剂系统反馈控制的方法，以寻求进一步减少燃油消耗和有害排放。引擎和排气催化剂子系统是基于耦合的操作约束和与目标相互矛盾的动态相互依赖的。该研究将采用发动机和催化剂的第一原理和现象学模型来解决空气和燃料混合物调节，从而决定了燃料消耗和耗尽后处理系统的排放。要克服的挑战是反馈循环中不同的运输延迟，由于基于事件的采样而引起的采样率以及耦合发动机/催化剂系统的高度非线性和不同动态。将对上述挑战进行了适当修改的线性参数变化的反馈控制方法，将研究基于催化剂后传感器的测量值，以调节发动机空气/燃料混合物，以实现变化的发动机速度和负载条件。拟议与汽车行业的合作将寻求将研究结果转移到可能影响未来生产工具的技术中。提出的建模和控制方法可以使其他耦合复合系统（例如材料处理和能量转换系统）受益。该项目具有教育目标，旨在促进有关电力和化学反应系统的跨学科教学和研究，并生产多样化并追求社会利益的工程师。