CAREER: Control of Advanced Fuel-Flexible Multi-Cylinder Engines

职业：先进燃料灵活多缸发动机的控制

• 批准号: 1553823
• 负责人: Carrie Hall
• 金额: $ 50万
• 依托单位: Illinois Institute of Technology
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-03-01 至 2022-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1553823&HistoricalAwards=false
• 关键词: CAREER; Control; Advanced; Fuel; Flexible

This Faculty Early Career Development (CAREER) project will investigate the dynamics and control of advanced combustion strategies that have the potential to increase the efficiency of fuel-flexible diesel engines by up to 20 percent. The use of alternative fuels in modern vehicles typically results in higher production of some pollutants, as well as a drop in efficiency. However, the combination of alternative fuels along with more advanced combustion techniques has the potential to solve this problem, and provide efficient, clean power for transportation. While the benefits of this strategy have been demonstrated in highly monitored laboratory environments, significant improvements in the control of multi-cylinder engines are needed before these benefits can be realized in production vehicles. This project will create estimation and control methods for complex engine systems. The project will also provide opportunities for underrepresented students to work in this critical area of transportation energy research.The control of advanced combustion engines is particularly challenging due to the low availability of sensor measurements in the harsh engine environment, the highly nonlinear and internally coupled behavior of the system, and significant cycle-to-cycle and cylinder-to-cylinder variations. To meet these challenges, this research will study and model the dynamics of a multi-cylinder advanced engine system. With an improved understanding of the dynamics, the research team will then create nonlinear estimation techniques that capture key variables for which measurements are not available and which are primary drivers in combustion variations. This project will culminate in the investigation of nonlinear model predictive control techniques that can provide optimal performance to this complex system with its constrained and coupled inputs. While reliable linear control techniques have existed for decades, control strategies for highly nonlinear applications such as advanced engines are not well established. Expansion of the current nonlinear control strategies to such systems will provide valuable insight not only for internal combustion engine applications but other complex system structures in areas such as robotics and hybrid vehicles.

这项教师早期职业发展（职业）项目将调查先进燃烧策略的动态和控制，这些策略有可能提高燃料燃烧柴油发动机的效率高达20％。在现代车辆中使用替代燃料通常会导致某些污染物的产量更高，并效率下降。但是，替代燃料以及更先进的燃烧技术的组合有可能解决此问题，并为运输提供有效的清洁能力。尽管在受监控的实验室环境中已经证明了该策略的好处，但在生产工具中实现这些好处之前，需要对多缸发动机的控制进行重大改进。该项目将为复杂的发动机系统创建估计和控制方法。该项目还将为代表性不足的学生提供在这项关键的运输能源研究领域工作的机会。由于在苛刻的发动机环境中传感器测量值较低，系统的高度非线性和内部循环行为，以及系统的高度非线性和大量周期到周期到周期到周期至周期和旋转蛋白限量的变化，因此对高级燃烧发动机的控制尤其具有挑战性。为了应对这些挑战，这项研究将研究和建模多缸高级发动机系统的动态。随着对动态的提高，研究团队将创建非线性估计技术，以捕获未可用测量的关键变量，哪些是燃烧变化的主要驱动因素。 该项目将在对非线性模型预测控制技术的研究中达到顶峰，该技术可以通过其约束和耦合输入为该复杂系统提供最佳性能。尽管可靠的线性控制技术已经存在数十年，但高度非线性应用（例如高级发动机）的控制策略尚未确定。将当前的非线性控制策略扩展到此类系统将不仅为内燃机应用程序提供有价值的见解，而且还可以为机器人技术和混合动力汽车等领域的其他复杂系统结构提供宝贵的见解。