A Unified Framework for Robust Parameter Varying Control with Applications to Engine Control Problems

鲁棒参数变化控制的统一框架及其在发动机控制问题中的应用

• 批准号: 9713724
• 负责人: Karolos Grigoriadis
• 金额: $ 23.09万
• 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: 1998
• 资助国家: 美国
• 起止时间: 1998-01-01 至 2003-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9713724&HistoricalAwards=false
• 关键词: Unified; Framework; Robust; Parameter; Varying

This research project deals with the analysis, design,and implementation of robust controllers for nonlinear systems such as operating under variable conditions such as internal combustion IC engines. The operation of modern IC engines for automotive use must satisfy a diverse range on conflicting constraints imposed by economical, environmental , societal and marketing factors, such as; regulating exhaust emissions to near zero levels to meet government standards, providing increased fuel economy consistent with consumer acceptance, maintaining satisfactory vehicle performance over a wide range of operating conditions, and performing safely and reliably over the life of the vehicle. At the present time there exists no unified control methodology to provide robust controllers for nonlinear systems with time-delays, saturation constraints and large operating parameter variations. In addition, since modern controllers are to be implemented in a digital microprocessor, issues related to the implementability of these controllers are essential, but are often ignored. Hardware limitations and real-time computational constraints require the implementation of low-order digital controllers. This research project addresses the important and challenging short comings and limitations of modern control theory. Novel tools based on recently developed robust gain-scheduled control, fixed-order control sampled-data systems, alternating projection algorithms and linear matrix inequality methods are developed. The model of a diesel engine, provided by Cummins Engine Company, is used as a design paradigm to demonstrate the applicability of the developed techniques. Cummins has agreed to collaborate closely with the investigators by providing industrial expertise, simulation models, test data, and access to their experimental test facilities. The research results provide valuable insight and optimized design methodologies to control a large class of practical control engineering problems,such as engines, robots and manufacturing processes in a unified and computationally efficient manner.

本研究课题是针对内燃机等可变条件下的非线性系统的鲁棒控制器的分析、设计和实现。用于汽车用途的现代内燃机的操作必须满足由经济、环境、社会和市场因素施加的各种冲突约束，例如：将废气排放调节到接近零的水平以满足政府标准，提供与消费者接受度一致的增加的燃料经济性，在广泛的操作条件下保持令人满意的车辆性能，并且在车辆的整个寿命期间安全可靠地执行。对于具有时滞、饱和约束和运行参数变化较大的非线性系统，目前还没有统一的鲁棒控制方法。此外，由于现代控制器要在数字微处理器中实现，因此与这些控制器的可实现性相关的问题是必不可少的，但往往被忽视。硬件的限制和实时计算的约束，需要低阶数字控制器的实施。这个研究项目解决了现代控制理论的重要和具有挑战性的缺点和局限性。基于最近发展的鲁棒增益调度控制，固定阶控制采样数据系统，交替投影算法和线性矩阵不等式方法的新工具的开发。以康明斯发动机公司提供的柴油机模型为设计范例，验证了所开发技术的适用性。康明斯已同意与调查人员密切合作，提供工业专业知识、模拟模型、测试数据，并访问他们的实验测试设施。研究结果提供了有价值的见解和优化的设计方法，以统一和计算高效的方式控制一大类实际控制工程问题，如发动机，机器人和制造过程。