Information system designing for tuning of work process control algorithm of a diesel engine

INFORMATION SYSTEM DESIGNING FOR TUNING OF WORK PROCESS CONTROL ALGORITHM OF A DIESEL ENGINE

        The   author:  Zhukov P.T.

North-West State  Technical

 University (S-Peterburg, Russia )

Abstract

The increasing   requirements for  ecological and economical parameters of a vehicle   have  demanded to introduce  better and more advanced   engine  control system . Modern automotive engines are controlled by electronic control system, that allows to monitor engine operating conditions, utilizing information from the input sensors.

To tune control algorithms and calibrate data of electronic control system  , the  information system (  the soft-hardware complex) is widely used at present.

The objective of this  article is to design  the information system which allows  to find the most  useful information from all information variety,  and then   to optimize parameters of work process control system .To provide accurate control algorithm , the applied  software uses  simulating   animation   of  mixture formation.

Introduction

For the last years  the significant changes in design of  a vehicle have taken place. The increasing   requirements for  ecological and economical parameters of a vehicle   have  demanded to introduce  better and more advanced   engine  control system .

Modern automotive engines are controlled by electronic control system, that allows to monitor engine operating conditions, utilizing information from the input sensors.

The heart of electronic control system is the ECU ( Electronic Control Unit ) . It has capability to receive  and  process information , and make operating decisions  about the fuel system condition.

The  engine work process  control is a kind  of   information processing.    Information   from sensors to  actuators  of   control system is different both in   characteristics and  importance. In this case   it becomes very  important to find the most  useful information from all information variety,  and then   to optimize parameters of work process control system . Therefore  the problems, connected  with designing work process control system  of an   engine are closely  connected with a type  of information .

To provide accurate fuel mass and fuel injection duration for each cylinder individually , the ECU uses a program ( an algorithm ) , which determinates  a basic injection  volume based on different factors  such as   fuel mixture , shaft speed,  current temperature , pressure of  air supercharging, air consumption , correcting coefficients .

To tune control algorithms and calibrate data of electronic control system  , the  information system (  the soft-hardware complex) is widely used at present (Fig.1). Information system is a system in which operator can  choose current algorithm of control and  manage by adjustments and parameters of work processes.

Main results

In this article I can  present the an information system with simulating support , that allows  to calibrate  and  measure parameters by means of   interface Can Calibration Protocol ( CCP). The  Calibration

interface can  be connected directly to the host PC via USB ( www. Dspace.com).

It  the system can be divided into  two parts (Fig.1)  :

1) The hardware ( the  ECU,  the Calibration hub, the  input/output module,  the host PC;

2) the  applied software which provides a graphical user interface for handling calibration , measurement tasks and modeling  tasks. The software is the heart of the  calibration system.

	USB

 

	Calibration  interface ( CCP)

 

                                     

Calibration hub

               

	ECU

Data Signals

			I/O module

Signals to actuators

                                                                                                    

Figure1: The information system (  the soft-hardware complex)

The simulating  model with  animation  support of  mixture formation   is used  to provide accurate control algorithm of the ECU. The initial dates for this  simulating  model are data from the  input sensors. The results are presented in table-form , graphics , virtual monitoring devices, animation. Using the  animation predicting  the fuel injection process , it is possible , for example , to search the propagation and evaporation  of fuel spray  spray-wall  interaction, ignition point , combustion point (Fig.2). To calibrate  mass fuel , an  operator uses a  information from  the input sensors ( speed shaft, pressure , temperature , air consumption )   and prediction results from  the model ( correct coefficients , heat-release  curve,   animation).

The model is implemented in Simulink/Matlab  with supply  VRML language ( Virtual Reality Modeling Language ) .

Many programs such as  Solid Works , Photoshop ,  Adobe Premier are used to design textures and three-dimensional animating  objects  . To search the mixture formation, operator can use  transparent views of objects,  the editable color spectrum ,  different viewpoints and  light sources  directions, traced camera , “traveling” around of moving objects by camera  in definite trajectory (Fig.2), record animation into AVI format.

 

 Reference

tg γ-opening angle of fuel spray ; hp- combustion chamber depth ; 1- fuel spray; 2-outlet valve ; 3-inlet valve .

Figure 2: The Animation of fuel injection process (top and front views)

Conclusion

Summarizing all above ,  calibration of engine control  systems requires considerable engineering resources during the development of modern engines. Traditional calibration methods use  now only a information from the input sensors. This  way of  engine exploring and optimization of calibration map   allows  to use a combination of information from the sensors and from the results of simulation.

References

[1] A. K. Giryavec , The Control Theory for Automotive Engine ,Moscow : Ruski Servis , 1997 ( in Russian )

[2] P.T. Zhukov , The Applied Software Designing  for a Vehicle in Matlab: Ivanovo :ISAU, 2005 ( in Russian)