Multivariable Control of Advance Technology Powertrains

ECS-9810242采用科德宝先进技术的动力系统，在不牺牲驾驶性能的前提下，满足更低排放和更高燃油经济性的要求。为满足这些目标而增加的新型执行器通常与多个动力系统子系统相互作用。目前的控制校准策略是基于多个单控制回路，不能补偿这些相互作用。相反，需要复杂的多变量控制来实现先进发动机的性能潜力。提出的研究目标是发展和应用系统理论的概念，以解决高度交互的先进动力系统的控制器设计问题。特别是，我们解决了选择多变量控制器架构的问题，该架构最好地满足了系统性能和控制复杂性之间的权衡。首席研究员将与福特公司的工程师合作，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备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.