By Giovanni Fiengo, Alessandro di Gaeta, Angelo Palladino, Visit Amazon's Veniero Giglio Page, search results, Learn about Author Central, Veniero Giglio,
Progressive discounts in automobile emission specifications have pressured the car to take a position in learn and improvement of other regulate suggestions. continuous regulate motion exerted by means of a committed digital keep watch over unit guarantees that most sensible functionality when it comes to pollutant emissions and tool density is married with driveability and diagnostics. fuel direct injection (GDI) engine know-how is how to reach those ambitions.
This short describes the functioning of a GDI engine built with a standard rail (CR) approach, and the units essential to run test-bench experiments intimately. The textual content may still end up instructive to researchers in engine keep an eye on and scholars are steered to this short as their first method of this know-how. Later chapters of the short relate an leading edge process designed to help with the engine administration method; injection strain legislation for gasoline strain stabilization within the CR gasoline line is proposed and confirmed through scan. The ensuing keep an eye on scheme consists of a suggestions critical motion and a static model-based feed-forward motion, the earnings of that are scheduled as a functionality of primary plant parameters. The tuning of closed-loop functionality is supported by way of an research of the phase-margin and the sensitivity functionality. Experimental effects be sure the effectiveness of the regulate set of rules in regulating the mean-value rail strain independently from engine operating stipulations (engine velocity and time of injection) with constrained layout effort.
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Extra resources for Common Rail System for GDI Engines: Modelling, Identification, and Control
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3 elsewhere. In order to limit negative effects that such measurable inputs can exert on common rail pressure during transients, it becomes mandatory to design a pressure controller that self adapts its gains in function of the measurable variables Vb and N . 6) describes the average value of the common rail pressure varying the current and HP pump speed when all injectors are disabled. Nevertheless, it is important to have information, even only qualitatively, on the alternating component of pressure, say η(t), that inevitably affects the closed -loop chain.
As an example, in [2] a controller is designed applying the quantitative feedback theory (QFT) to the closed-loop system. It results in a controller robust to model uncertainties and external disturbances, having moreover a quantitative measure of the robustness achieved. Simulations and experiments on a one-cylinder diesel-dual-fuel engine have shown interesting performance of the proposed controller, compared to the traditional proportional-integral-derivative (PID) controller. In [1] an hybrid model of the Magneti Marelli Powertrain commonrail fuel-injection system for four-cylinders multijet engine has been presented.
Even though an increasing number of technical papers proposing advanced feedback control loop are available, the control of high pressure in commercial products is still based on open loop strategy based using tables function of pressure. Using the open loop control, injection pressure value is selected directly according to the engine operating conditions. Obviously this approach requires a non negligible time and material resources to identify the pressure mapping, and the resulting maps need to be updated in order to fulfill future emission reduction and fuel economy requirements.