000 03385nam a22004815i 4500
001 978-1-4471-4468-7
003 DE-He213
005 20170628033642.0
007 cr nn 008mamaa
008 121116s2013 xxk| s |||| 0|eng d
020 _a9781447144687
_9978-1-4471-4468-7
024 7 _a10.1007/978-1-4471-4468-7
_2doi
050 4 _aTJ212-225
072 7 _aTJFM
_2bicssc
072 7 _aTEC004000
_2bisacsh
082 0 4 _a629.8
_223
100 1 _aFiengo, Giovanni.
_eauthor.
245 1 0 _aCommon Rail System for GDI Engines
_h[electronic resource] :
_bModelling, Identification, and Control /
_cby Giovanni Fiengo, Alessandro di Gaeta, Angelo Palladino, Veniero Giglio.
264 1 _aLondon :
_bSpringer London :
_bImprint: Springer,
_c2013.
300 _aVIII, 81 p. 58 illus., 38 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringerBriefs in Electrical and Computer Engineering,
_x2191-8112
505 0 _aThe Common Rail System -- Mathematical Modeling of Pressure Dynamics -- GDI Injector Model -- Control Design -- Injection Time Management.
520 _aProgressive reductions in vehicle emission requirements have forced the automotive industry to invest in research and development of alternative control strategies. Continual control action exerted by a dedicated electronic control unit ensures that best performance in terms of pollutant emissions and power density is married with driveability and diagnostics. Gasoline direct injection (GDI) engine technology is a way to attain these goals. This brief describes the functioning of a GDI engine equipped with a common rail (CR) system, and the devices necessary to run test-bench experiments in detail. The text should prove instructive to researchers in engine control and students are recommended to this brief as their first approach to this technology. Later chapters of the brief relate an innovative strategy designed to assist with the engine management system; injection pressure regulation for fuel pressure stabilization in the CR fuel line is proposed and validated by experiment. The resulting control scheme is composed of a feedback integral action and a static model-based feed-forward action, the gains of which are scheduled as a function of fundamental plant parameters. The tuning of closed-loop performance is supported by an analysis of the phase-margin and the sensitivity function. Experimental results confirm the effectiveness of the control algorithm in regulating the mean-value rail pressure independently from engine working conditions (engine speed and time of injection) with limited design effort.
650 0 _aEngineering.
650 1 4 _aEngineering.
650 2 4 _aControl.
650 2 4 _aAutomotive Engineering.
650 2 4 _aEnergy Systems.
700 1 _adi Gaeta, Alessandro.
_eauthor.
700 1 _aPalladino, Angelo.
_eauthor.
700 1 _aGiglio, Veniero.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781447144670
830 0 _aSpringerBriefs in Electrical and Computer Engineering,
_x2191-8112
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4471-4468-7
912 _aZDB-2-ENG
999 _c16204
_d16204