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.

这个教师早期职业发展（CAREER）项目将研究先进燃烧策略的动力学和控制，这些策略有可能将燃料灵活的柴油发动机的效率提高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生增加，以及效率下降。然而，替代燃料沿着与更先进的燃烧技术的结合有可能解决这个问题，并为运输提供高效、清洁的动力。虽然这种策略的好处已经在高度监控的实验室环境中得到了证明，但在生产车辆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机会，在运输能源研究的这一关键领域的工作。先进的内燃机的控制是特别具有挑战性的，由于在恶劣的发动机环境中的传感器测量的低可用性，系统的高度非线性和内部耦合的行为，以及显着的周期到周期和气缸到气缸的变化。为了应对这些挑战，本研究将研究和模拟多缸先进发动机系统的动力学。随着对动力学的进一步了解，研究团队将创建非线性估计技术，以捕获无法测量的关键变量，这些变量是燃烧变化的主要驱动因素。 这个项目将最终在非线性模型预测控制技术的研究，可以提供最佳的性能，这个复杂的系统，其约束和耦合的输入。虽然可靠的线性控制技术已经存在了几十年，但用于高度非线性应用（如先进发动机）的控制策略还没有很好地建立起来。扩展目前的非线性控制策略，这样的系统将提供有价值的洞察力，不仅为内燃机的应用，但在其他领域，如机器人和混合动力汽车的复杂系统结构。