课题基金 / 基金详情

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

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:
$20.0万
依托单位:
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
项目状态:
已结题
起止时间:
2012-10-01 至 2018-09-30

项目摘要

项目成果

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中文摘要
翻译
该奖项的研究目标是开发用于汽车中耦合发动机和催化剂系统的反馈控制方法,以进一步降低燃料消耗和有害排放。发动机和排气催化剂子系统基于具有冲突目标的耦合操作约束和互连动态而高度相互依赖。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问题,该调节决定了后处理系统的燃料消耗和废气排放。需要克服的挑战是反馈回路中的变化的传输延迟、由于基于事件的采样而导致的变化的采样率以及耦合的发动机/催化剂系统的高度非线性和变化的动态。一个线性参数变化的反馈控制方法,适当修改,以解决上述挑战,将被调查,以调节发动机空气/燃料混合气的基础上,后催化剂传感器测量发动机转速和负载conditions.is成功的,这项研究的结果将导致改善燃油经济性和减少有害排放的汽车。与汽车行业的拟议合作将寻求将研究成果转化为可能影响未来生产车辆的技术。所提出的建模和控制方法对其他耦合复杂系统,如材料加工和能量转换系统也有一定的借鉴意义。该项目的教育目标是促进机电和化学反应系统的跨学科教学和研究,培养多样化的工程师,追求社会效益。
英文摘要
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.
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Automated Computational Modeling and Adaptive Control for Critical Patient Resuscitation
  • 批准号:
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  • 项目类别:
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  • 资助金额:
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  • 财政年份:
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  • 负责人:
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  • 资助金额:
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  • 项目类别:
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    $23.09万
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  • 负责人:
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