DocumentCode
1758205
Title
An Explicit Model Predictive Control Framework for Turbocharged Diesel Engines
Author
Dezong Zhao ; Cunjia Liu ; Stobart, Richard ; Jiamei Deng ; Winward, Edward ; Guangyu Dong
Author_Institution
Dept. of Aeronaut. & Automotive Eng., Loughborough Univ., Loughborough, UK
Volume
61
Issue
7
fYear
2014
fDate
41821
Firstpage
3540
Lastpage
3552
Abstract
The turbocharged diesel engine is a typical multi-input multioutput system with strong couplings, actuator constraints, and fast dynamics. This paper addresses the exhaust emission regulation in turbocharged diesel engines using an explicit model predictive control (EMPC) approach, which allows tracking of the time-varying setpoint values generated by the supervisory level controller while satisfying the actuator constraints. The proposed EMPC framework consists of calibration, engine model identification, controller formulation, and state observer design. The proposed EMPC approach has a low computation requirement and is suitable for implementation in the engine control unit on board. The experimental results on a turbocharged Cat C6.6 diesel engine demonstrate that the EMPC controller significantly improves the tracking performance of the exhaust emission variables in comparison with the decoupled single-input single-output control methods.
Keywords
diesel engines; fuel systems; observers; predictive control; time-varying systems; EMPC controller; actuator constraints; controller formulation; engine model identification; exhaust emission regulation; explicit model predictive control; multiinput multioutput system; state observer design; supervisory level controller; time-varying setpoint values; turbocharged diesel engines; Atmospheric modeling; Calibration; Couplings; Diesel engines; Fuels; Manifolds; Exhaust emission regulation; explicit model predictive control (EMPC); turbocharged diesel engines;
fLanguage
English
Journal_Title
Industrial Electronics, IEEE Transactions on
Publisher
ieee
ISSN
0278-0046
Type
jour
DOI
10.1109/TIE.2013.2279353
Filename
6584790
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