This article presents the development and experimental validation of an emissions oriented model predictive controller for a diesel engine. The control objective is to minimize cumulative NOx and hydrocarbon emissions while limiting visible smoke production and without compromising fuel economy or torque response. This is accomplished by using a supervisory model predictive controller (SMPC) and nonlinear model predictive controller (NMPC) in tandem. The SMPC controller coordinates the exhaust gas recirculation (EGR) rate target and fuel supplied to the engine in real time to satisfy combustion quality constraints, while the NMPC controller tracks the EGR rate target by manipulating the EGR throttle, EGR valve, and variable geometry turbine. The NMPC controller uses MPC for feedforward and feedback in a novel configuration to simultaneously achieve fast tracking performance, disturbance rejection, and robustness. We demonstrate that the proposed diesel engine MPC controller is able to reduce cumulative emissions by 10% to 15% relative to a state of the art benchmark strategy when placed in closed loop with an engine on a transient dynamometer.

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柴油机风道的模型预测排放控制：设计和实验评估

本文介绍了柴油机面向排放的模型预测控制器的开发和实验验证。控制目标是最大程度地减少累积的NOx和碳氢化合物排放，同时限制可见烟气的产生，并且不影响燃油经济性或扭矩响应。这是通过串联使用监督模型预测控制器（SMPC）和非线性模型预测控制器（NMPC）来实现的。SMPC控制器实时协调排气再循环（EGR）速率目标和供应给发动机的燃料，以满足燃烧质量限制，而NMPC控制器则通过操纵EGR节气门，EGR阀和可变几何涡轮来跟踪EGR率目标。 。NMPC控制器以新颖的配置将MPC用于前馈和反馈，以同时实现快速跟踪性能，干扰抑制和鲁棒性。我们证明，与瞬态测功机上的发动机闭环放置时，相对于最新的基准测试策略，提出的柴油机MPC控制器能够将累积排放降低10％至15％。