Transactions of the Korean Society of Mechanical Engineers B (대한기계학회논문집B)

The Korean Society of Mechanical Engineers (대한기계학회)
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Parameter Estimation and Modeling of HSDI Common-Rail Injector Using Feedforward Neural Network

앞먹임 신경회로망을 이용한 HSDI Common-Rail 인젝터의 파라미터 추정 및 모델링

  • 윤마루 (한양대학교 대학원 자동차공학과) ;
  • 선우명호 (한양대학교 자동차공학과) ;
  • 이강윤 (한양대학교 대학원 자동차공학과) ;
  • 이승종 (한양대학교 자동차공학과)
  • Published : 2004.08.01
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Abstract

This study presents the process of the solenoid parameter estimation of an common-rail injector fer HSDI(High Speed Direct Injection) diesel engines. The EMF(Electromotive Force) and solenoid inductance are the major parameters for presenting the injector dynamics, and also these parameters are estimated by using a multi-layer feedforward artificial neural networks(ANN). The performances of parameter estimators are verified by the simulation with injector model. The feasibility of this methodology is closely examined through the simulation in the various operating points of injector. The simulation results have revealed that estimated parameters show favorable agreements with the common-rail injector model.

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References

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