In this paper, we investigate the nonlinear observer designs to estimate the ammonia coverage ratio in the diesel engine selective catalytic reduction (SCR) systems. The ammonia coverage ratio is an important variable due to its critical role in the SCR NOx conversion and the ammonia slip. However, the ammonia coverage ratio cannot be directly measured by onboard sensors. Therefore, it is necessary to develop effective observers to estimate the ammonia coverage ratio online. Based on a three-state SCR model, we develop two nonlinear observers. The first one only employs the dynamics of the ammonia concentration. The structure and the algorithm are simple. But it is sensitive to the measurement noises and the uncertainties in the system parameters. The second one is a discrete-time smooth variable structure estimator which is robust to the measurement noises, the approximation error, and the system uncertainties. Both estimators are implemented on a full-vehicle simulation of the FTP75 test cycle. The simulation results have verified the theoretical analysis.
Skip Nav Destination
Article navigation
November 2013
Technical Briefs
Robust Filtering for Ammonia Coverage Estimation in Diesel Engine Selective Catalytic Reduction Systems
Junmin Wang,
Junmin Wang
1
e-mail: wang.1381@osu.edu
Department of Mechanical and Aerospace Engineering,
Columbus, OH 43210
Department of Mechanical and Aerospace Engineering,
The Ohio State University
,Columbus, OH 43210
1Corresponding author.
Search for other works by this author on:
Yue-Yun Wang
Yue-Yun Wang
Propulsion Systems Research Lab,
e-mail: yue-yun.wang@gm.com
GM Global Research and Development
,Warren, MI 48090
e-mail: yue-yun.wang@gm.com
Search for other works by this author on:
Hui Zhang
e-mail: huizhang285@gmail.com
Junmin Wang
e-mail: wang.1381@osu.edu
Department of Mechanical and Aerospace Engineering,
Columbus, OH 43210
Department of Mechanical and Aerospace Engineering,
The Ohio State University
,Columbus, OH 43210
Yue-Yun Wang
Propulsion Systems Research Lab,
e-mail: yue-yun.wang@gm.com
GM Global Research and Development
,Warren, MI 48090
e-mail: yue-yun.wang@gm.com
1Corresponding author.
Contributed by the Dynamic Systems Division of ASME for publication in the JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT, AND CONTROL. Manuscript received January 15, 2013; final manuscript received June 10, 2013; published online August 23, 2013. Assoc. Editor: Gregory Shaver.
J. Dyn. Sys., Meas., Control. Nov 2013, 135(6): 064504 (7 pages)
Published Online: August 23, 2013
Article history
Received:
January 15, 2013
Revision Received:
June 10, 2013
Citation
Zhang, H., Wang, J., and Wang, Y. (August 23, 2013). "Robust Filtering for Ammonia Coverage Estimation in Diesel Engine Selective Catalytic Reduction Systems." ASME. J. Dyn. Sys., Meas., Control. November 2013; 135(6): 064504. https://doi.org/10.1115/1.4024890
Download citation file:
Get Email Alerts
Offline and Online Exergy-Based Strategies for Hybrid Electric Vehicles
J. Dyn. Sys., Meas., Control (May 2025)
Multi Combustor Turbine Engine Acceleration Process Control Law Design
J. Dyn. Sys., Meas., Control
A Distributed Layered Planning and Control Algorithm for Teams of Quadrupedal Robots: An Obstacle-Aware Nonlinear Model Predictive Control Approach
J. Dyn. Sys., Meas., Control (May 2025)
Active Data-Enabled Robot Learning of Elastic Workpiece Interactions
J. Dyn. Sys., Meas., Control (May 2025)
Related Articles
NO x Sensor Ammonia-Cross-Sensitivity Factor Estimation in Diesel Engine Selective Catalytic Reduction Systems
J. Dyn. Sys., Meas., Control (June,2015)
Data-Based On-Board Diagnostics for Diesel Engine NOx-Reduction Aftertreatment Systems
Letters Dyn. Sys. Control (April,2023)
Effect of Mass Transfer on the Performance of Selective Catalytic Reduction (SCR) Systems
J. Eng. Gas Turbines Power (March,2011)
Robust Nonlinear Disturbance Observer Design for Estimation of Ammonia Storage Ratio in Selective Catalytic Reduction Systems
J. Dyn. Sys., Meas., Control (December,2015)
Related Proceedings Papers
Related Chapters
Practical Applications
Robust Control: Youla Parameterization Approach
Efficient Transmission Images with QAM Modulation over an AWGN Channel
International Conference on Computer and Electrical Engineering 4th (ICCEE 2011)
Efficient Estimation of the High Dimensional Model Representation for Non-Linear Models (PSAM-0402)
Proceedings of the Eighth International Conference on Probabilistic Safety Assessment & Management (PSAM)