DocumentCode :
3572548
Title :
Nonlinear model predictive torque control for IC engines
Author :
Mingxin Kang ; Tielong Shen
Author_Institution :
Dept. of Eng. & Appl. Sci., Sophia Univ., Tokyo, Japan
fYear :
2014
Firstpage :
804
Lastpage :
809
Abstract :
This paper presents a model predictive online optimization scheme for the engine torque control problem. The control-oriented model is based on the intake air charging dynamics and torque generation model which are derived from the mean value model. In order to reduce the tracking error induce by the insufficient accurate predictive model, an embedded integrator about the tracking error is designed. Then, the online optimization algorithm namely C/GMRES is adopted to solve the nonlinear optimal problem. Finally, experimental validations are conducted and demonstrated the robustness and transient performance for the proposed engine torque controller.
Keywords :
intake systems (machines); internal combustion engines; machine control; nonlinear control systems; optimal control; optimisation; predictive control; torque control; C/GMRES; IC engine torque control problem; embedded integrator; intake air charging dynamics; model predictive online optimization scheme; nonlinear model predictive torque control; nonlinear optimal problem; torque generation model; Atmospheric modeling; Engines; Equations; Mathematical model; Optimization; Torque; Vehicles; Model predictive control; engine torque tracking; nonlinear optimal control; receding horizon online optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation (WCICA), 2014 11th World Congress on
Type :
conf
DOI :
10.1109/WCICA.2014.7052819
Filename :
7052819
Link To Document :
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