Title :
Air-to-fuel ratio control with adaptive estimation of biofuel content for diesel engine LNT regeneration
Author :
Xuefei Chen ; Yueyun Wang ; Haskara, I. ; Guoming Zhu
Author_Institution :
Dept. of Mech. Eng., Michigan State Univ., East Lansing, MI, USA
Abstract :
This paper presents a method of controlling the air-to-fuel ratio (AFR) based upon an adaptively estimated biodiesel fuel content for a diesel engine equipped with the lean NOx trap (LNT) aftertreatment system. The fuel content (or percentage of biodiesel fuel) is estimated by an adaptive estimation scheme based upon the exhaust oxygen sensor signal during the normal engine operations and during the LNT regeneration when the AFR is controlled in a closed loop. The engine system was modeled by a third order linear system in this study. A Linear Quadratic optimal tracking controller was used to regulate the engine AFR to the desired level during the LNT regeneration period. The closed loop system robustness with respect to the air flow measurement error and the fuel content estimation error is also analyzed. Three adaptive control schemes were studied through simulations, and the best performance was obtained for the dual-gain scheme, where the low adaptive estimation gain is used during normal engine operations and high gain is used during the LNT regeneration.
Keywords :
adaptive estimation; biofuel; closed loop systems; diesel engines; linear quadratic control; optimal control; AFR; LNT regeneration period; adaptive estimation; air flow measurement error; air-to-fuel ratio control; biodiesel fuel; biofuel content; closed loop system; diesel engine LNT regeneration; dual-gain scheme; engine operations; exhaust oxygen sensor; fuel content estimation error; lean nitrogen oxide trap; linear quadratic optimal tracking controller; low adaptive estimation gain; normal engine operations; third order linear system; Adaptation models; Adaptive estimation; Biofuels; Engines; Equations; Mathematical model;
Conference_Titel :
American Control Conference (ACC), 2012
Conference_Location :
Montreal, QC
Print_ISBN :
978-1-4577-1095-7
Electronic_ISBN :
0743-1619
DOI :
10.1109/ACC.2012.6314964