GOALI: Optimal Hybrid Control and Coordination of Engine and Transmission Systems

9634375王这个项目的主要目标是开发新的最优混合控制方法，并研究可行的控制策略，以实现汽车发动机和传动系统的协调和稳健控制。该项目将制定和研究某些通用的最优混合控制问题，这些问题是由汽车动力总成系统的稳定性和性能优化问题强烈驱动的。在汽车应用方面，离散动作将是VDE(可变排量发动机)和变速器齿轮选择。然后引入性能指标来描述最优混合控制问题。将研究和开发可行的混合控制方法。该项目将对更好地了解混杂控制系统的基本特征，以及开发可靠的混杂系统设计方法具有重要意义。采用动力总成控制作为基准问题的方法将为PI和行业合作者提供深刻的动机来制定问题，澄清证明设计假设的标准，并提供一个设计验证的平台。该项目将为混合系统提供一定的基准问题和可行的控制策略，并有助于缩小良好的直觉和严格的问题表达之间的差距，试错设计和可靠控制方法之间的差距，面向应用的方法和数学理论之间的差距。该项目将为PI和福特汽车公司的研究人员之间的长期深入合作提供一个极好的机会。PI的几名博士生将参与该项目，作为他们论文研究的一部分，并将由行业合作者共同指导。将开发一门关于汽车控制系统的研究生课程。***

9634375 Wang The main objective of this project is to develop new optimal hybrid control methods and to investigate feasible control strategies for coordination and robust control of automotive engine and transmission systems. The project will formulate and investigate certain generic optimal hybrid control problems which are strongly motivated by the problem of stabilization and performance optimization in automotive powertrain systems. In terms of automotive applications, the discrete actions will be VDE (variable displacement engine) and transmission gear selections. Performance measure will then be introduced to formulate an optimal hybrid control problem. Feasible hybrid control methods will be investigated and developed. This project will be of importance in gaining a better understanding of essential features of hybrid control systems, and in developing reliable design methods for hybrid systems. The approach of employing powertrain control as benchmark problems will provide the PI and industry collaborators with insightful motivations for problem formulation, clarifying criteria for justifying design assumptions, and a platform for design verification. This project will provide certain benchmark problems and feasible control strategies for hybrid systems, and contribute toward narrowing the gaps between good intuition and rigorous problem formulation, between trial-and-error design and reliable control methods, and between application-oriented methodologies and mathematical theory. The project will provide an excellent opportunity for intensive long-term cooperation between the PI and researchers at Ford Motor Company. Several Ph.D. students of the PI will participate in the project as part of their dissertation research and will be jointly supervised by the industry collaborators. A graduate-level course on automotive control systems will be developed. ***