Real-Time Supervision of the Diesel Engine Injection Process

1997 ◽  
Author(s):  
Steffen Leonhardt ◽  
Ralf Schwarz ◽  
Rolf Isermann
Author(s):  
Xiyu Yang ◽  
Quan Dong ◽  
Jingdong Song ◽  
Tanqing Zhou

Abstract As a state-of-the-art injection technology, high-pressure common rail injection system (HPCRIS) has advantages including high injection pressure, adjustable injection timing and flexible injection rate. Nevertheless, the fluctuation of cyclic fuel injection mass (CFIM) in HPCRIS with multiple-injection strategy (MIS) reduces the economy of diesel engine and the stability of vibration and noise control. To realize the precise control of CFIM, the online perception of injection process is the premise. This paper presents an innovative online measurement method of injection rate on MIS. According to the evolution characteristics of water hammer pressure oscillation in the fuel system, the rule is found that the oscillation form of the water hammer is depended on the structure of HPCRIS rather than the injection condition, and the general applicability of this rule is proved by the hydraulic-electric analog method. Base on this, the real-time simulation method of the pilot water hammer oscillation wave in the same field is proposed to realize the extraction of the expansion pressure signal components of the main injection. Then the direct mathematical relationship between pressure signal and fuel injection rate is established, and the online measurement of fuel injection characteristics under MIS is realized. To improve the robustness of the algorithm a real-time calibration method of fuel sound velocity is proposed. Finally, by comparing with the offline experiment, this online measurement method of injection rate has relatively high accuracy, the CFIM error is less than 2%, and the fitting goodness of the injection rate curve exceeded 0.91. This measurement method can provide direct feedback to the electronic control unit (ECU) on the fuel injection process without changing the HPCRIS structure.


2000 ◽  
Author(s):  
David R. Snelling ◽  
Gregory J. Smallwood ◽  
Robert A. Sawchuk ◽  
W. Stuart Neill ◽  
Daniel Gareau ◽  
...  

Author(s):  
Javad Mohammadpour ◽  
Karolos Grigoriadis ◽  
Matthew Franchek ◽  
Benjamin J. Zwissler

In this paper, we present a real-time parameter identification approach for diagnosing faults in the exhaust gas recirculation (EGR) system of Diesel engines. The proposed diagnostics method has the ability to detect and estimate the magnitude of a leak or a restriction in the EGR valve, which are common faults in the air handling system of a Diesel engine. Real-time diagnostics is achieved using a recursive-least-squares (RLS) method, as well as, a recursive formulation of a more robust version of the RLS method referred to as recursive total-least-squares method. The method is used to identify the coefficients in a static orifice flow model of the EGR valve. The proposed approach of fault detection is successfully applied to diagnose low-flow or high-flow faults in an engine and is validated using experimental data obtained from a Diesel engine test cell and a truck.


1998 ◽  
Author(s):  
José Ma Desantes ◽  
Jean Arrègle ◽  
José V. Pastor ◽  
Alain Delage

2002 ◽  
Vol 8 (5) ◽  
pp. 659-671 ◽  
Author(s):  
Mosaad Mosleh ◽  
Amier Al-Ali

A linear time invariant (LTI) model of a marine diesel engine is presented. The effect of the discontinuity of the fuel injection into the cylinders and the injection period is considered. The proposed discrete model consists of a sampler and zero-order-hold mechanism, representing the fuel injection process. The design of the discrete controller is based on the pole assignment of the characteristic polynomial of the closed-loop transfer function with the goal of achieving zero steady-state error, and satisfying other design specifications. A numerical example illustrating the characteristic performance of a two stroke marine diesel engine is presented.


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