Authors: F Yan J Wang
Publish Date: 2011/03/26
Volume: 12, Issue: 2, Pages: 149-157
Abstract
This paper presents an accurate engine fuel injection quantity control technique for high pressure common rail HPCR injection systems by an iterative learning control ILCbased online calibration method Accurate fuel injection quantity control is of importance in improving engine combustion efficiency and reducing engineout emissions Current Diesel engine fuel injection quantity control algorithms are either based on precalibrated tables or injector models which may not adequately handle the effects of disturbances from fuel pressure oscillation in HPCR rail pressure sensor reading inaccuracy and the injector aging on injection quantity control In this paper by using an exhaust oxygen fraction dynamic model an online parameter calibration method for accurate fuel injection quantity control was developed based on an enhanced iterative learning control EILC technique in conjunction with HPCR injection system A highfidelity GTPower engine model with parametric uncertainties and measurement disturbances was utilized to validate such a methodology Through simulations at different engine operating conditions the effectiveness of the proposed method in rejecting the effects of uncertainties and disturbance on fuel injection quantity control was demonstrated
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