DIAGNOSIS OF INJECTORS THROUGH COMMON RAIL PRESSURE MEASUREMENT

2011 ◽  
Vol 159 (1) ◽  
pp. 110-122
Author(s):  
Mirosław KARCZEWSKI ◽  
Krzysztof KOLIŃSKI
Keyword(s):  
Pressure Sensor ◽  
Pressure Measurement ◽  
Common Rail ◽  
Diagnostic Methods ◽  
Fuel System ◽  
Rail Pressure ◽  
Dynamic Changes ◽  
Common Rail Pressure ◽  
The Common ◽  
Pressure Changes

More and more compress engines contain common rail fuel systems. This type of fuel systems injectors are supplied with high pressurised petroleum from the common rail. Dynamic changes of pressure in rail are caused by injection events and fuel supply. The pressure sensor mounted by manufactures in the common rail enables observing and measuring changes in pressure. Pressure changes depend on the phenomena occurring during injection and pumping processes. Every change in each process influences pressure changes in the common rail. The aim of the paper is to elaborate on diagnostic methods of the C-R fuel system based on dynamic changes of pressure in the rail.

Adaptation of Water Emulsified Fuel by the Common Rail Pressure and Injection Timing

2017 ◽  
Vol 2017.70 (0) ◽  
pp. 209
Author(s):  
Kenta YAMADA ◽  
Atsuyoshi TAKAYAMA ◽  
Yusei MUROYA ◽  
Keisuke MATSUNAGA
Keyword(s):  
Common Rail ◽  
Injection Timing ◽  
Rail Pressure ◽  
Emulsified Fuel ◽  
Common Rail Pressure ◽  
The Common

scholarly journals An MRAC Approach for Tracking and Ripple Attenuation of the Common Rail Pressure for GDI Engines

2011 ◽  
Vol 44 (1) ◽  
pp. 4173-4180 ◽  
Author(s):  
Umberto Montanaro ◽  
Alessandro di Gaeta ◽  
Veniero Giglio
Keyword(s):  
Common Rail ◽  
Rail Pressure ◽  
Common Rail Pressure ◽  
The Common ◽  
Gdi Engines

Design and Experimental Study on Fuzzy Self-Adaptive Controller of Common-Rail Pressure for DME Engine

2014 ◽  
Vol 494-495 ◽  
pp. 1298-1301
Author(s):  
Wei Li ◽  
Ran Han ◽  
Wen Wang ◽  
Fan Bin Li
Keyword(s):  
Pressure Fluctuation ◽  
Pid Controller ◽  
Performance Test ◽  
Fuzzy Controller ◽  
Common Rail ◽  
Rail Pressure ◽  
Common Rail Pressure ◽  
Target Pressure ◽  
The Common ◽  
Self Adaptive

A fuzzy self-adaptive PID controller is developed for controlling the pressure of the common-rail of DME (Dimethyl Ether) engine, and the performance test was carried out on a pump test bench. The results showed that the lag time of pressure following was not more than 0.34ms when the set value of common rail pressure stepped under the different speed, and the fluctuation value of common-rail pressure did not exceeding 0.5MPa while the target pressure changed from 5MPa to 11MPa, and the rail pressure fluctuation decreases rapidly with the target pressure increased, and the rail pressure fluctuation value did not exceeding 0.1MPa when the target pressure reaches at 11MPa. All these results fully illustrated that the fuzzy adaptive PID controller possesses the common advantages of PID controller and fuzzy controller, and the regulator of common rail pressure has the advantages of fast response, small static error, tiny overshoot, good robustness and quite stability.

scholarly journals Rail pressure control strategy based on pumping characteristics for the common rail fuel system

2018 ◽  
Vol 10 (9) ◽  
pp. 168781401879559
Author(s):  
Guangzhao Yue ◽  
Tao Qiu ◽  
Hefei Dai ◽  
Yan Lei ◽  
Ning Zhao
Keyword(s):  
Feedback Control ◽  
Control Strategy ◽  
Feedforward Control ◽  
Pressure Control ◽  
Common Rail ◽  
Fuel System ◽  
Rail Pressure ◽  
Proportional Integral Derivative ◽  
Proportional Integral ◽  
The Common

The control of rail pressure is quite important in the common rail fuel system. Generally, the rail pressure control strategy is a combination of feedforward control and proportional–integral–derivative feedback control. A lumped parameter model of the common rail fuel system is built. Theoretically, the three main factors that affect the rail pressure are engine speed, rail pressure, and fuel injection. With these factors as the control parameters, the feedforward control logic is established. Then, with the basic fuel amount as the proportional–integral–derivative control parameter, the feedback control strategy is improved. The feedforward control is used to determine the basic fuel amount; the proportional–integral–derivative feedback control is used to fine-tune the basic fuel amount based on the deviation of target rail pressure and real rail pressure. Compared with only proportional–integral–derivative feedback control, the computation load of feedback control is reduced and the response speed is increased. In addition, experiments based on a common rail fuel system test rig are completed. The results show that the fuel efficiency of common rail fuel pump decreases with pump speed, and rail pressure increases. The steady-state rail pressure fluctuations are effectively reduced and the dynamic control precision of the common rail fuel system increases when the optimized control method is adopted.

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