Improvement of Air Fuel Ratio Model Using a Least Absolute Shrinkage and Selection Operator
Chanyut Khajorntraidet, Tielong Shen, Kazuhisa Ito
Available Online August 2015.
- https://doi.org/10.2991/msam-15.2015.30How to use a DOI?
- spark ignition engine; in-cylinder pressure; air-fuel ratio estimation; least absolute shrinkage and selection operator
- The improvement of an air-fuel ratio model based on in-cylinder pressure measurement is presented. This model has been applied for calculation of static air-fuel ratio of spark ignition (SI) engines. In addition, it can be replaced the lambda sensors in feedback air-fuel ratio control systems. However the parameters of the model obtained from ridge regression method compose of few small coefficients, in practical applications, these small coefficients cannot be ignored because they affect the air-fuel ratio calculation error. Therefore, the authors propose modification of the air-fuel ratio model structure and also the model identification method using a least absolute shrinkage and selection operator (LASSO). With the application of this method, some coefficients are shrunk to zero then the model structure is simplified. The results compared with ridge regression show that this proposed method can improve the structure of the air-fuel ratio model without increasing of the calculation error.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Chanyut Khajorntraidet AU - Tielong Shen AU - Kazuhisa Ito PY - 2015/08 DA - 2015/08 TI - Improvement of Air Fuel Ratio Model Using a Least Absolute Shrinkage and Selection Operator BT - 2015 International Conference on Modeling, Simulation and Applied Mathematics PB - Atlantis Press SN - 1951-6851 UR - https://doi.org/10.2991/msam-15.2015.30 DO - https://doi.org/10.2991/msam-15.2015.30 ID - Khajorntraidet2015/08 ER -