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

被引:30
|
作者
Huang, Mike [1 ]
Zaseck, Kevin [1 ]
Butts, Ken [1 ]
Kolmanovsky, Ilya [2 ]
机构
[1] Toyota Motor Engn & Mfg North Amer, Ann Arbor, MI 48105 USA
[2] Univ Michigan, Ann Arbor, MI 48109 USA
关键词
Air path control; automotive; diesel engines; model predictive control (MPC); optimal control; CONSTRAINED LINEAR-SYSTEMS; BOUNDED DISTURBANCES;
D O I
10.1109/TCST.2016.2529503
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:1922 / 1935
页数:14
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