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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. |
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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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