论文标题

进食对模型预测性气径控制柴油发动机的好处

Benefits of Feedforward for Model Predictive Airpath Control of Diesel Engines

论文作者

Zhang, Jiadi, Amini, Mohammad Reza, Kolmanovsky, Ilya, Tsutsumi, Munechika, Nakada, Hayato

论文摘要

本文调查了与Feedford补充柴油发动机反馈控制器的选项。控制目标是通过操纵EGR阀和可变的几何涡轮机(VGT)来跟踪进气歧管压力和排气再循环(EGR)速率目标,同时满足状态和输入约束。反馈控制器基于基于速率的模型预测控制(MPC),该控制器提供了跟踪的整体操作。 FeedForward的两个选项被认为是一个基于一个查找表,该桌子将进料指定为发动机速度和燃油喷射速率的函数,另一个基于(基于非结果的)MPC产生动态前馈轨迹。使用GT-Power中的高保真发动机模型设计和验证控制器,并利用基于低阶速率的线性参数变化(LPV)模型进行预测,该模型是从GT-Power模型生成的瞬态响应数据中鉴定出来的。结果表明,进料和反馈MPC的组合具有提高控制设计的性能和鲁棒性的潜力。特别是,没有进料的反馈MPC可能会在低发动机速度下失去稳定性,而基于MPC的前馈产生最佳瞬态响应。讨论了前馈能够协助稳定和提高性能的机制。

This paper investigates options to complement a diesel engine airpath feedback controller with a feedforward. The control objective is to track the intake manifold pressure and exhaust gas recirculation (EGR) rate targets by manipulating the EGR valve and variable geometry turbine (VGT) while satisfying state and input constraints. The feedback controller is based on rate-based Model Predictive Control (MPC) that provides integral action for tracking. Two options for the feedforward are considered one based on a look-up table that specifies the feedforward as a function of engine speed and fuel injection rate, and another one based on a (non-rate-based) MPC that generates dynamic feedforward trajectories. The controllers are designed and verified using a high-fidelity engine model in GT-Power and exploit a low-order rate-based linear parameter-varying (LPV) model for prediction which is identified from transient response data generated by the GT-Power model. It is shown that the combination of feedforward and feedback MPC has the potential to improve the performance and robustness of the control design. In particular, the feedback MPC without feedforward can lose stability at low engine speeds, while MPC-based feedforward results in the best transient response. Mechanisms by which feedforward is able to assist in stabilization and improve performance are discussed.

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