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International Journal of Automotive Technology > Volume 10(6); 2009 > Article
International Journal of Automotive Technology 2009;10(6): 653-662.
MODEL-BASED CONTROL SYSTEM DESIGN IN A UREA-SCR AFTERTREATMENT SYSTEM BASED ON NH3 SENSOR FEEDBAC
M. DEVARAKONDA1, G. PARKER1, J. H. JOHNSON1, V. STROTS2
1Michigan Technological University
2Navistar Inc.
ABSTRACT
This paper presents preliminary control system simulation results in a urea-selective catalytic reduction (SCR) aftertreatment system based on NH3 sensor feedback. A four-state control-oriented lumped parameter model is used to analyze the controllability and observability properties of the urea-SCR plant. A model-based estimator is designed via simulation and a control system is developed with design based on a sliding mode control framework. The control system based on NH3 sensor feedback is analyzed via simulation by comparing it to a control system developed based on NOx sensor feedback. Simulation results show that the NH3 sensor-based strategy performs very similarly in comparison to a NOx sensor-based strategy. The control system performance metrics for NOx index, urea index, urea usage, and NH3 slip suggest that the NOx sensor can be a potential alternative to a NOx sensor for urea-SCR control applications.
Key Words: Urea-SCR catalyst, Model-based estimation, Observer, Control system design, NH3 sensor, Sliding mode control
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