Title :
Robust mixed ℌ2/ℌ∞ gain-scheduling observer design for removal of NOx sensor ammonia cross sensitivity in selective catalytic reduction systems
Author :
Hui Zhang ; Junmin Wang ; Yue-Yun Wang
Author_Institution :
Dept. of Mech. & Aerosp. Eng., Ohio State Univ., Columbus, OH, USA
Abstract :
This paper focuses on the robust mixed ℌ2/ℌ∞ observer design problem for removal of NOx sensor ammonia cross-sensitivity in selective catalytic reduction (SCR) systems. Due to the ammonia cross-sensitivity, the reading of the NOx sensor is contaminated severely. In order to utilize the concentration of the NOx in the downstream tailpipe, it is desired to design an observer to estimate the actual value of the NOx concentration and the time-varying cross-sensitivity factor. It is assumed that the variation of the cross-sensitivity is bounded. A design approach of the gain-scheduling robust mixed ℌ2/ℌ∞ observer is proposed, in which the gain-scheduling strategy is adaptive to compensate for the nonlinearity and the time-varying parameters in the SCR model. Simulations and comparisons are carried out to show the efficacy and the advantages of the proposed approach over the existing extended Kalman filter on a Diesel engine powertrain.
Keywords :
H∞ control; H2 control; air pollution control; ammonia; catalysis; chemical sensors; control nonlinearities; observers; robust control; scheduling; sensitivity analysis; time-varying systems; Kalman filter; SCR systems; bounded cross-sensitivity variation; diesel engine powertrain; nitrogen oxide sensor; nitrogen oxide sensor ammonia cross sensitivity removal; robust mixed H2-H∞ gain-scheduling observer design problem; selective catalytic reduction systems; time-varying cross-sensitivity factor; time-varying parameters; Estimation error; Noise; Observers; Robustness; Substrates; Thyristors; Uncertainty;
Conference_Titel :
American Control Conference (ACC), 2013
Conference_Location :
Washington, DC
Print_ISBN :
978-1-4799-0177-7
DOI :
10.1109/ACC.2013.6580158