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High pressure common rail injection system modeling and control.

H P Wang1, D Zheng1, Y Tian1

  • 1Sino-French International Joint Laboratory Automatic Control and Signal Processing (LaFCAS), School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China.

ISA Transactions
|March 26, 2016
PubMed
Summary
This summary is machine-generated.

This study presents a novel Extended State Observer-based intelligent Proportional Integral (ESO-based iPI) controller for high pressure common rail injection systems (HPCRIS). The controller demonstrates superior performance in common-rail pressure control compared to traditional methods.

Keywords:
AMESimCommon-rail pressureESOHigh pressure common rail injection systemIPI controller

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Area of Science:

  • Automotive Engineering
  • Control Systems Engineering
  • Mechanical Engineering

Background:

  • High pressure common rail injection systems (HPCRIS) are critical in modern engines.
  • Accurate common-rail pressure control is essential for performance and emissions.
  • Existing control methods may face limitations in complex, nonlinear HPCRIS dynamics.

Purpose of the Study:

  • To develop and validate a mathematical model for HPCRIS, encompassing pump, common rail, and injector dynamics.
  • To design an effective model-free controller, the Extended State Observer-based intelligent Proportional Integral (ESO-based iPI) controller.
  • To evaluate the performance of the proposed ESO-based iPI controller against conventional PID and ADRC controllers.

Main Methods:

  • Development of a nonlinear mathematical model for HPCRIS, including three sub-systems.
  • Validation of the mathematical model using Matlab and a detailed simulation environment.
  • Design of the ESO-based iPI controller, integrating an Extended State Observer (ESO) with a time-delay estimation-based intelligent Proportional Integral (iPI) controller.

Main Results:

  • The proposed mathematical model accurately represents the complex dynamics of HPCRIS.
  • The ESO-based iPI controller demonstrated effective model-free control for common-rail pressure.
  • Comparative analysis showed the ESO-based iPI controller outperformed conventional PID and ADRC controllers in performance.

Conclusions:

  • The developed mathematical model provides a robust foundation for HPCRIS simulation and control design.
  • The ESO-based iPI controller offers a promising, high-performance solution for HPCRIS pressure regulation.
  • This research contributes to advancements in automotive fuel injection system control strategies.