There is a class of sensor constrained, uncertain, chemical reactor systems that pose unique challenges with regard to the feedback signal. We refer specifically to the urea based selective catalytic reduction (SCR) of nitrogen oxides (NOx) in the engine exhaust of diesel powertrains. These catalysts rely on adsorbed ammonia (NH3), produced from aqueous urea, for the catalytic reduction of NOx to N2. Typically, underinjection of urea will result in the slip of NOx, whereas overinjection will induce NH3 slip. The ideal control objective of such a plant is, therefore, to regulate urea injection such that the net slip over the catalyst is minimized. Meeting these control objectives is made difficult due to the presence of an output sensor that is cross sensitive to both NOx and NH3, thereby producing a mixed feedback signal. This signal confounding poses significant challenges with regard to the stability and robustness of both closed loop control as well as on board diagnostics. In the absence of a robust NH3 sensor, it becomes necessary to create alternate methods of signal disambiguation. However, so far in open literature, there has not been a detailed discussion of this problem nor has a concrete solution been proposed to robustly and continuously identify the nature of slip as NOx or NH3. In this paper, we discuss the systematic development of a new method that allows a robust and continuous determination of the slip regime from the mixed signal output of a standard NOx sensor. The full scope of the practical problem is discussed and the performance of the proposed method is shown via experimental data.
Skip Nav Destination
Article navigation
January 2014
Research-Article
Robust Separation of Signal Domain From Single Channel Mixed Signal Output of Automotive Urea Based Selective Catalytic Reduction Systems
M. Van Nieuwstadt
M. Van Nieuwstadt
Search for other works by this author on:
D. Upadhyay
e-mail: dupadhya@ford.com
M. Van Nieuwstadt
Contributed by the Dynamic Systems Division of ASME for publication in the JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT, AND CONTROL. Manuscript received January 22, 2013; final manuscript received September 10, 2013; published online October 7, 2013. Assoc. Editor: Shankar Coimbatore Subramanian.
J. Dyn. Sys., Meas., Control. Jan 2014, 136(1): 011012 (9 pages)
Published Online: October 7, 2013
Article history
Received:
January 22, 2013
Revision Received:
September 10, 2013
Citation
Upadhyay, D., and Van Nieuwstadt, M. (October 7, 2013). "Robust Separation of Signal Domain From Single Channel Mixed Signal Output of Automotive Urea Based Selective Catalytic Reduction Systems." ASME. J. Dyn. Sys., Meas., Control. January 2014; 136(1): 011012. https://doi.org/10.1115/1.4025459
Download citation file:
Get Email Alerts
Cited By
Hybrid Kinematic-dynamic Sideslip and Friction Estimation
J. Dyn. Sys., Meas., Control
Koopman Model Predictive Control of an Integrated Thermal Management System for Electric Vehicles
J. Dyn. Sys., Meas., Control
Electromagnetic Model of Linear Resonant Actuators
J. Dyn. Sys., Meas., Control (May 2023)
Discrete Robust Control of Robot Manipulators Using an Uncertainty and Disturbance Estimator
J. Dyn. Sys., Meas., Control (May 2023)
Related Articles
Rich-Catalytic Lean-Burn Combustion for Low-Single-Digit NO x Gas Turbines
J. Eng. Gas Turbines Power (January,2005)
Status of Catalytic Combustion R&D for the Department of Energy Advanced Turbine Systems Program
J. Eng. Gas Turbines Power (April,2000)
Field Demonstration of a 1.5 MW Industrial Gas Turbine With a Low Emissions Catalytic Combustion System
J. Eng. Gas Turbines Power (July,2001)
Advanced Catalytic Pilot for Low NO x Industrial Gas Turbines
J. Eng. Gas Turbines Power (October,2003)
Related Proceedings Papers
Related Chapters
Introduction
A Practical Guide to Avoiding Steam Purity Problems in the Industrial Plant (CRTD-35)
Discussion of Parameters to Be Monitored
Consensus on Operating Practices for the Sampling and Monitoring of Feedwater and Boiler Water Chemistry in Modern Industrial Boilers (CRTD-81)
Syntheses of Mesoporous Silica Materials
Silica Nanoparticles as Drug Delivery System for Immunomodulator GMDP (Biomedical & Nanomedical Technologies - Concise Monograph Series)