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Rate-Based Model Predictive Controller for Diesel Engine Air Path: Design and Experimental Evaluation

机译:柴油机风路基于速率的模型预测控制器:设计与实验评估

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This paper presents the development and results of rate-based model predictive control (RB-MPC) for a diesel engine air path. The objective is to regulate the intake manifold pressure and the exhaust gas recirculation (EGR) flow estimate to the specified set-points by coordinated control of the Variable Geometry Turbine (VGT), EGR valve, and EGR throttle actuators. We present steps by which we arrive at a controller that has low computational complexity, good tracking performance, and capability to enforce multiple constraints. Through the employed strategies, the need to cover the operating range with multiple linear models and to use a complicated switching controller structure is avoided. Simulation and experimental results are presented that demonstrate the ability of RB-MPC to follow specified set-points while satisfying state and control constraints throughout the engine operating range.
机译:本文介绍了基于比率的模型预测控制(RB-MPC)在柴油发动机空气路径中的发展和结果。目的是通过可变几何涡轮(VGT),EGR阀和EGR节气门执行器的协调控制,将进气歧管压力和废气再循环(EGR)流量估算值调节到指定的设定点。我们介绍了一些步骤,通过这些步骤可以得出具有较低的计算复杂度,良好的跟踪性能以及执行多个约束的能力的控制器。通过采用的策略,避免了使用多个线性模型覆盖操作范围并使用复杂的开关控制器结构的需求。仿真和实验结果表明,RB-MPC能够满足指定的设定点,同时在整个发动机工作范围内满足状态和控制约束。

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