000			01693nab a2200205 4500
005			20260520000839.0
008			260224s2009 xxu
245	0	0	_aLean limit and emissions improvement for a spark-ignited natual gas engine using a generalized predictive control (GPC)-based air/fuel ratio controller
260			_a _b _cnov./dic. 2009
270			_a09/06/2010 ; 09/06/2010
300			_a7 p. ; 6026-6032
520			_aTranscripción del resumen del autor. The effects of the different air/fuel ratio (AFR) controller on lean limit and emission characteristics of a compressed natural gas (CNG) engine have been studied. The CARIMA model for the CNG engine was established, and a generalized predictive control (GPC)-based adaptive AFR controller was built by Matlab/Simulink. A simulation model of the engine was established by GT-Power. The experimental investigation was conducted on a six-cylinder multipoint injection lean-burn turbocharged spark-ignition (SI) CNG engine. The results of the simulation and experiment show that, in comparison to the proportional-integral-derivative (PID) algorithm, the GPC algorithm has not only better dynamic behavior but also better adaptability to the disturbances of the system, especially at transient conditions. Using the GPC controller, the lean misfire is improved because of the smaller overshoot of the excess air ratio and the operating range of the engine is extended. As a result, the emissions decrease slightly.
581			_a6
773	0		_tEnergy & fuels _g23
942			_cARTICULO
100	1		_aMao, Xiaojian _942404
100	1		_aWang, Du _942405
100	1		_aXiao, Weyong _942406
999			_c170848 _d170848