Extended Kalman filter and adaptive backstepping for mean temperature control of a three-way catalytic converter

2013 ◽  
Vol 24 (18) ◽  
pp. 3437-3453 ◽  
Author(s):  
T. Utz ◽  
C. Fleck ◽  
J. Frauhammer ◽  
D. Seiler-Thull ◽  
A. Kugi
Keyword(s):  
Kalman Filter ◽  
Extended Kalman Filter ◽  
Temperature Control ◽  
Catalytic Converter ◽  
Adaptive Backstepping ◽  
Mean Temperature

scholarly journals Intake Air Mass Observer Design Based on Extended Kalman Filter for Air-Fuel Ratio Control on SI Engine

Energies ◽  
2019 ◽  
Vol 12 (18) ◽  
pp. 3444
Author(s):  
Lei Meng ◽  
Jie Luo ◽  
Xu Yang ◽  
Chunnian Zeng
Keyword(s):  
Kalman Filter ◽  
Extended Kalman Filter ◽  
Catalytic Converter ◽  
Random Noise ◽  
Observer Design ◽  
Exhaust Emission ◽  
Si Engine ◽  
Air Mass ◽  
Fuel Ratio ◽  
Experiment Validation

Air-fuel ratio (AFR) control is important for the exhaust emission reduction while using the three-way catalytic converter in the spark ignition (SI) engine. However, the transient cylinder air mass is unable to acquire by sensors directly and it may limit the accuracy of AFR control. The complex engine dynamics and working conditions make the intake air estimation a challenge work. In this paper, a novelty design of intake air observer is investigated for the port-injected SI engine. The intake air dynamical modeling and the parameter fitting have been carried out in detail. Extended Kalman Filter (EKF) has been used to optimize the instantaneous cylinder charge estimation and minimize the effort of pump gas fluctuation, random noise, and measurement noise. The experiment validation has been conducted to verify the effectiveness of the proposed method.

scholarly journals Performance evaluation of GPS / BDS combined single-point positioning based on RTKLIB

2020 ◽  
Vol 165 ◽  
pp. 03009
Author(s):  
Li Yan-yi ◽  
Huang Jin ◽  
Tang Ming-xiu
Keyword(s):  
Kalman Filter ◽  
Extended Kalman Filter ◽  
Single Point ◽  
Least Square Method ◽  
Least Square ◽  
Filter Method ◽  
Single System ◽  
Positioning Error ◽  
Dual Mode ◽  
Kalman Filter Method

In order to evaluate the performance of GPS / BDS, RTKLIB, an open-source software of GNSS, is used in this paper. In this paper, the least square method, the weighted least square method and the extended Kalman filter method are respectively applied to BDS / GPS single system for data solution. Then, the BDS system and GPS system are used for fusion positioning and the positioning results of the two systems are compared with that of the single system. Through the comparison of experiments, on the premise of using the extended Kalman filter method for positioning, when the GPS signal is not good, BDS data is introduced for dual-mode positioning, the positioning error in e direction is reduced by 36.97%, the positioning error in U direction is reduced by 22.95%, and the spatial positioning error is reduced by 16.01%, which further reflects the advantages of dual-mode positioning in improving a system robustness and reducing the error.

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