Multivariable Control of Advance Technology Powertrains

ECS-9810242弗罗伊登贝格 先进技术的动力系统被提出来满足对低排放和高燃油经济性的需求，而不牺牲驾驶性能。 为了满足这些目标而增加的新型致动器通常与一个以上的动力系统子系统相互作用。 当前的控制校准策略基于多个单个控制回路，并且不能补偿这些相互作用。 相反，将需要复杂的多变量控制来实现先进发动机的性能潜力。 建议的研究的目标是开发和应用系统理论的概念，高度相互作用的先进动力系统的控制器设计的问题。 特别是，我们解决的问题，选择一个多变量控制器的架构，最好地满足系统性能和控制复杂性之间的权衡。 首席研究员将与福特的工程师合作，这些工程师可以使用先进的动力系统模型和测功机测试设施来评估拟议的控制算法。 汽车动力系统是一个具有挑战性的应用领域，需要系统和控制方法来解决重要的技术问题。

ECS-9810242 Freudenberg Advanced technology powertrains are being proposed to satisfy demands for lower emissions and higher fuel economy without sacrificing drivability. The novel actuators added to meet these goals typically interact with more than one powertrain subsystem. Current control calibration strategies are based upon multiple single control loops, and cannot compensate for these interactions. Instead, sophisticated multivariable control will be needed to achieve the performance potential of advanced engines. The goal of the proposed research is to develop and apply system theoretic concepts to the problem of controller design for highly interacting advanced powertrains. In particular, we address the problem of selecting a multivariable controller architecture that best meets the tradeoff between system performance and control complexity. The Principal Investigator will work with engineers at Ford who have access to models of advanced powertrains and dynamometer test facilities with which to evaluate proposed control algorithms. Automotive powertrains are a challenging application field in which methods of systems and control are needed to solve important technological problems.