RBF-BASED FEEDFORWARD-FEEDBACK CONTROL FOR AIR-FUEL RATIO OF SI ENGINES

2007 ◽  
Vol 40 (21) ◽  
pp. 13-18 ◽  
Author(s):  
Yujia Zhai ◽  
Dingli Yu
2000 ◽  
Author(s):  
Alain Chevalier ◽  
Christian Winge Vigild ◽  
Elbert Hendricks

2004 ◽  
Vol 37 (22) ◽  
pp. 317-323
Author(s):  
Ivan Arsie ◽  
Cesare Pianese ◽  
Marco Sorrentino

Author(s):  
Hsiu-Ming Wu ◽  
Reza Tafreshi

Minimization of the carbon dioxide and harmful pollutants emissions and maximization of fuel economy for the lean-burn spark ignition (SI) engines significantly rely on precise air-fuel ratio (AFR) control. However, the main challenge of AFR control is the large time-varying delay which exists in lean-burn engines. Since the system is usually subject to external disturbances and uncertainties, a high level of robustness in the AFR control design has to be considered. Herein, a fuzzy sliding-mode control (FSMC) technique is proposed to track the desired AFR in the presence of periodic disturbances. The proposed method is model free and does not need any system characteristics. Based on the fuzzy system input-output data, two scaling factors are first employed to normalize the sliding surface and its derivative. According to the concept of the if-then rule, an appropriate rule table for the logic system is designed. Finally, the feasibility and effectiveness of the proposed control scheme are evaluated under various operating conditions.


1994 ◽  
Author(s):  
Alois Amstutz ◽  
Nicholas P. Fekete ◽  
J. David Powell

2011 ◽  
Vol 13 (1) ◽  
pp. 65-76 ◽  
Author(s):  
P Li ◽  
T Shen ◽  
D Liu

Imbalance in torque generation leads to engine speed fluctuation. To improve the idle engine speed performance, the torque balancing control problem is addressed in this paper for multi-cylinder SI engines. To evaluate cylinder-to-cylinder imbalance, the average torque in ignition-event scale is introduced as controlled output, which enables a feedback control to be performed without measurement of instantaneous torque, and the individual spark advances are chosen as control inputs. A linear discrete time model with single input and single output is proposed to represent the dynamics of the imbalance, where a sequentially switching function is introduced to describe the spark advance signals delivered to each cylinder and the differences in torque generation caused by the individual cylinder characteristics are equivalently modelled as unknown offset in the inputs. An estimation algorithm with the proof of convergence is presented to provide on-line estimation of the unknown offset under the passivity assumption of the system. Furthermore, a feedback control law which combines the unknown offset estimation and the model predictive control is proposed. Finally, the unknown offset estimation and the feedback control approach are validated based on the experimental results carried out on a six-cylinder gasoline engine test bench.


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