scholarly journals Periodic Time-Varying Model-Based Predictive Control of Air-Fuel Ratio in Gasoline Engines under Individual Fuel Injection

2013 ◽  
Vol 6 (5) ◽  
pp. 309-315
Author(s):  
Yinhua LIU ◽  
Tielong SHEN
Keyword(s):  
Predictive Control ◽  
Fuel Injection ◽  
Time Varying ◽  
Gasoline Engines ◽  
Fuel Ratio ◽  
Model Based

Linear time varying model based model predictive control for lateral path tracking

2018 ◽  
Vol 75 (1/2/3/4) ◽  
pp. 1
Author(s):  
Charles Pinto ◽  
Ione Nieva ◽  
Sara Mata ◽  
Itziar Cabanes ◽  
Asier Zubizarreta
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Linear Time ◽  
Path Tracking ◽  
Time Varying ◽  
Model Based

Linear time varying model based model predictive control for lateral path tracking

2017 ◽  
Vol 75 (1/2/3/4) ◽  
pp. 1 ◽  
Author(s):  
Sara Mata ◽  
Asier Zubizarreta ◽  
Itziar Cabanes ◽  
Ione Nieva ◽  
Charles Pinto
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Linear Time ◽  
Path Tracking ◽  
Time Varying ◽  
Model Based

Non-linear model-based predictive control of gasoline engine air-fuel ratio

1998 ◽  
Vol 20 (2) ◽  
pp. 103-112 ◽  
Author(s):  
B. Lennox ◽  
G.A. Montague ◽  
A.M. Frith ◽  
A.J. Beaumont
Keyword(s):  
Linear Model ◽  
Predictive Control ◽  
Gasoline Engine ◽  
Fuel Ratio ◽  
Model Based ◽  
Non Linear

scholarly journals Modified Volterra model-based non-linear model predictive control of IC engines with real-time simulations

2016 ◽  
Vol 39 (2) ◽  
pp. 208-223 ◽  
Author(s):  
Yiran Shi ◽  
Ding-Li Yu ◽  
Yantao Tian ◽  
Yaowu Shi
Keyword(s):  
Model Predictive Control ◽  
Real Time ◽  
Linear Model ◽  
Predictive Control ◽  
Fuel Injection ◽  
Volterra Model ◽  
Ic Engine ◽  
Model Based ◽  
Significant Difference ◽  
Non Linear

Modelling of non-linear dynamics of an air manifold and fuel injection in an internal combustion (IC) engine is investigated in this paper using the Volterra series model. Volterra model-based non-linear model predictive control (NMPC) is then developed to regulate the air–fuel ratio (AFR) at the stoichiometric value. Due to the significant difference between the time constants of the air manifold dynamics and fuel injection dynamics, the traditional Volterra model is unable to achieve a proper compromise between model accuracy and complexity. A novel method is therefore developed in this paper by using different sampling periods, to reduce the input terms significantly while maintaining the accuracy of the model. The developed NMPC system is applied to a widely used IC engine benchmark, the mean value engine model. The performance of the controlled engine under real-time simulation in the environment of dSPACE was evaluated. The simulation results show a significant improvement of the controlled performance compared with a feed-forward plus PI feedback control.

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