DocumentCode
2904546
Title
Model Predictive Controller design for throttle and wastegate control of a turbocharged engine
Author
Santillo, Mario ; Karnik, Aditya
Author_Institution
Ford Res. & Adv. Eng., Dearborn, MI, USA
fYear
2013
fDate
17-19 June 2013
Firstpage
2183
Lastpage
2188
Abstract
In this paper, we consider the problem of turbocharged gasoline engine air-path control. Specifically, we apply linear Model Predictive Control (MPC) to coordinate throttle and turbocharger wastegate actuation for engine airflow and boost pressure control. Simplification of the prediction model used for the MPC reduces the memory requirement for implementation. We neglect the effects of variable cam timing in the prediction model, and instead, these effects are considered through a robustness analysis of the MPC to system variability. We compare two methods to achieve offset-free reference tracking, namely, the use of an integrator with actuator-saturation-based anti-windup logic, and the use of a Kalman filter to estimate plant-model mismatches. Evaluation of these methods for a vehicle acceleration scenario demonstrates advantages with using the Kalman-filter-based approach in the presence of system variability.
Keywords
Kalman filters; automotive components; control system synthesis; fuel systems; internal combustion engines; predictive control; pressure control; stability; Kalman filter; MPC robustness analysis; actuator-saturation-based anti-windup logic; automotive companies; boost pressure control; engine airflow; integrator; linear model predictive control; model predictive controller design; offset-free reference tracking; plant-model mismatch estimation; system variability; throttle actuation; throttle control; turbocharged gasoline engine air-path control; turbocharger wastegate actuation; vehicle acceleration scenario; wastegate control; Actuators; Atmospheric modeling; Engines; Mathematical model; Predictive models; Turbines; Valves;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference (ACC), 2013
Conference_Location
Washington, DC
ISSN
0743-1619
Print_ISBN
978-1-4799-0177-7
Type
conf
DOI
10.1109/ACC.2013.6580159
Filename
6580159
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