TY - JOUR
AU - Cruden, Andrew J
AB - Manufacturers of diesel engines are under increasing pressure to meet progressively stricter NOx emission limits. A key NOx abatement technology is selective catalytic reduction in which ammonia, aided by a catalyst, reacts with NOx in the exhaust stream to produce nitrogen and water. The conversion efficiency is temperature dependent: at low temperature, reaction rates are temperature limited, resulting in suboptimal NOx removal, whereas at high temperatures, they are mass transfer limited. Maintaining sufficiently high temperature to allow maximal conversion is a challenge, particularly after cold start, as well as during conditions in which exhaust heat is insufficient, such as periods of low load or idling. In this work, a nonlinear model predictive controller simultaneously manages urea injection and power to an electric catalyst heater, in the presence of constraints.
TI - Nonlinear model predictive control applied to multivariable thermal and chemical control of selective catalytic reduction aftertreatment
JF - International Journal of Engine Research
DO - 10.1177/1468087419859103
DA - 2019-12-01
UR - https://www.deepdyve.com/lp/sage/nonlinear-model-predictive-control-applied-to-multivariable-thermal-fWKtAoEnV2
SP - 1017
EP - 1024
VL - 20
IS - 10
DP - DeepDyve
ER -