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International Journal of Automotive Technology > Volume 21(4); 2020 > Article
International Journal of Automotive Technology 2020;21(4): 971-980.
doi: https://doi.org/10.1007/s12239-020-0092-x
DIESEL ENGINE AIRPATH CONTROLLER VIA DATA DRIVEN DISTURBANCE OBSERVER
Volkan Aran1,2, Mustafa Unel2
1Ford Otosan
2Sabancı University
PDF Links Corresponding Author.  Mustafa Unel , Email. munel@sabanciuniv.edu
ABSTRACT
This study presents a novel data driven disturbance observer design method and its integration with a recursive controller developed for diesel engine airpath control problem. Mass Air Flow (MAF) and Manifold Absolute Pressure (MAP) are identified with Multi-Input Single-Output NFIR models using experimental data. Heavy-duty diesel engine airpath with variable geometry turbine (VGT) and exhaust gas recirculation (EGR) valve is the main focus of the paper. Presented data driven disturbance observer and controller are implemented to a serial production level engine embedded software. The proposed controllers are compared with the available commercial controllers in dynamometer test cycles. Better overall performance is achieved with respect to the commercial controllers using proposed easy-to-tune controllers.
Key Words: Diesel engine, Airpath control, Disturbance observer, Data driven observer, Disturbance and uncertainity estimator
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