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Experimental demonstration of a new model-based SCR control strategy for cleaner heavy-duty diesel engines

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Author: Willems, F.P.T. · Cloudt, R.P.M.
Type:article
Date:2011
Source:IEEE Transactions on Control Systems Technology, 5, 19, 1305-1313
Identifier: 436005
Article number: No.: 5565519
Keywords: Traffic · Adaptive control · diesel engines · emission control · model-based control · robustness · Adaptive Control · Adaptive control strategy · Control strategies · Cross sensitivity · Diesel aftertreatment · Emission legislation · Experimental validations · Feed-back sensors · Heavy-duty diesel engine · Low fuel consumption · Model-based control · New strategy · SCR catalysts · Sensor-based control · Storage model · Tailpipe emission · Transient tests · Adaptive control systems · Air pollution control · Ammonia · Catalysts · Emission control · Nitric oxide · Nitrogen oxides · Robust control · Robustness (control systems) · Selective catalytic reduction · Sensors · Urea · Diesel engines · Fluid Mechanics Chemistry & Energetics · PT - Power Trains · TS - Technical Sciences

Abstract

Selective catalytic reduction (SCR) is a promising diesel aftertreatment technology that enables low nitrogen oxides (NOx) tailpipe emissions with relatively low fuel consumption. Future emission legislation is pushing the boundaries for SCR control systems to achieve high NOx conversion within a tailpipe ammonia (NH3) slip constraint, and to provide robustness to meet in-use compliance requirements. This work presents a new adaptive control strategy that uses an ammonia feedback sensor and an online ammonia storage model. Experimental validation on a 12-liter heavy-duty diesel engine with a 34-liter Zeolite SCR catalyst shows good performance and robustness against urea under- and over-dosage for both the European steady-state and transient test cycles. The new strategy is compared with a NOx sensor-based control strategy with cross-sensitivity compensation. It proved to be superior in terms of transient adaptation and taking an NH3 slip constraint into account. © 2006 IEEE.