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Robust Air-to-fuel Ratio Control Algorithm of Passenger Car Diesel Engines Using Quantitative Feedback Theory

QFT 기법을 이용한 승용디젤엔진 공연비 제어 알고리즘 설계 연구

  • 박인석 (한양대학교 자동차전자제어연구소) ;
  • 홍승우 (한양대학교 자동차전자제어연구소) ;
  • 신재욱 (한양대학교 자동차공학과) ;
  • 선우명호 (한양대학교 미래자동차공학과)
  • Received : 2012.08.08
  • Accepted : 2012.11.09
  • Published : 2013.05.01

Abstract

This paper presents a robust air-to-fuel ratio (AFR) control algorithm for managing exhaust gas recirculation (EGR) systems. In order to handle production tolerance, deterioration and parameter-varying characteristics of the EGR system, quantitative feedback theory (QFT) is applied for designing the robust AFR control algorithm. A plant model of EGR system is approximated by the first order transfer function plus time-delay (FOPTD) model. EGR valve position and AFR of exhaust gas are used as input/output variables of the plant model. Through engine experiments, parameter uncertainty of the plant model is identified in a fixed engine operating point. Requirement specifications of robust stability and reference tracking performance are defined and these are fulfilled by the following steps: during loop shaping process, a PID controller is designed by using a nominal loop transmission function represented on Nichols chart. Then, the frequency response of closed-loop transfer function is used for designing a prefilter. It is validated that the proposed QFT-based AFR control algorithm successfully satisfy the requirements through experiments of various engine operating points.

Keywords

References

  1. Y. Y. Wang, I. Haskara and O. Yaniv, "Quantitative Feedback Design of Air and Boost Pressure Control System for Turbocharged Diesel Engines," Control Engineering Practice, Vol.19, pp.626-637, 2011. https://doi.org/10.1016/j.conengprac.2011.02.006
  2. S. J. Jeong, J. W. Chung, J. H. Kang and W. Kang, "The Effect of Control of the VGT and EGR in a Turbocharged Common-rail Diesel Engine on Emissions under Partial Loads Conditions," Transactions of KSAE, Vol.15, No.6, pp.151-158, 2007.
  3. M. Jankovic and I. Kolmanovsky, "Constructive Lyapunov Control Design for Turbocharged Diesel Engines," Control Systems Technology, IEEE Transactions on, Vol.8, pp.288-299, 2000. https://doi.org/10.1109/87.826800
  4. J. Chauvin, G. Corde, N. Petit and P. Rouchon, "Motion Planning for Experimental Airpath Control of a Diesel Homogeneous Charge-compression Ignition Engine," Control Engineering Practice, Vol.16, pp.1081-1091, 2008. https://doi.org/10.1016/j.conengprac.2007.12.001
  5. V. L. Utkin, C. Hao-Chi, I. Kolmanovsky and J. A. Cook, "Sliding Mode Control for Variable Geometry Turbocharged Diesel Engines," American Control Conference Proceedings, Vol.1, pp.584-588, 2000.
  6. Y. Yoon, S. Choi, M. Ko and J. Lim, "Simplified Turbocharged Diesel Engine Air Path Modeling and Control Using Sliding Mode Controllers," KSAE Annual Conference Proceedings, pp.548-558, 2010.
  7. W. Xiukun and L. del Re, "Gain Scheduled Hinf Control for Air Path Systems of Diesel Engines Using LPV Techniques," Control Systems Technology, IEEE Transactions on, Vol.15, pp.406-415, 2007. https://doi.org/10.1109/TCST.2007.894633
  8. M. Jung, "Mean-value Modelling and Robust Control of the Airpath of a Turbocharged Diesel Engine," Ph. D. Dissertation, University of Cambridge, Cambridge, 2003.
  9. P. Ortner and L. del Re, "Predictive Control of a Diesel Engine Air Path," Control Systems Technology, IEEE Transactions on, Vol.15, pp.449-456, 2007. https://doi.org/10.1109/TCST.2007.894638
  10. M. Ammann, N. P. Fekete, L. Guzzella and A. Glattfelder, "Model-based Control of the VGT and EGR in a Turbocharged Common-rail Diesel Engine: Theory and Passenger Car Implementation," SAE Transactions, Vol.112, pp.527-538, 2003.
  11. E. Alfieri, A. Amstutz, C. H. Onder and L. Guzzella, "Model-based Feedback Control of the Air-to-fuel Ratio in Diesel Engines Based on an Empirical Model," Computer Aided Control System Design, IEEE International Conference on Control Applications, IEEE International Symposium on Intelligent Control, IEEE, pp.509-514, 2006.
  12. E. Alfieri, "Emissions-controlled Diesel Engine," Ph. D. Dissertation, Swiss Federal Institute of Technology Zurich, Zurich, 2009.
  13. N. Niksefat and N. Sepehri, "Designing Robust Force Control of Hydraulic Actuators Despite System and Environmental Uncertainties," Control Systems, IEEE, Vol.21, pp.66-77, 2001.
  14. L. Eriksson, J. Wahlstrom and M. Klein, Physical Modeling of Turbocharged Engines and Parameter Identification Automotive Model Predictive Control, Springer Berlin, Berlin, Vol.402, pp.53-71, 2010.
  15. J. Wahlström, "Control of EGR and VGT for Emission Control and Pumping Work Minimization in Diesel Engines," Ph. D. Dissertation, Linkoping University, Linkoping, 2006.
  16. M. Garcia-Sanz, A. Mauch and C. Philippe, QFT Control Toolbox: An Interactive Objectoriented Matlab CAD Tool for Quantitative Feedback Theory, http://cesc.case.edu/OurQFTCT.htm, 2012.
  17. C. H. Houpis, "Refined Design Method for Sampled-data Control Systems: The Pseudocontinuous- time (PCT) Control System Design," Control Theory and Applications, IEE Proceedings D, Vol.132, pp.69-74, 1985. https://doi.org/10.1049/ip-d.1985.0012
  18. C. H. Houpis, S. J. Rasmussen and M. Garcia- Sanz, Quantitative Feedback Theory: Fundamentals and Applications, CRC Press, USA, Vol.20, 2006.
  19. S. Skogestad and I. Postlethwaite, Multivariable Feedback Control: Analysis and Design, Wiley, New York, 1996.
  20. J. J. D'Azzo, C. H. Houpis and S. N. Sheldon, Linear Control System Analysis and Design With Matlab, Marcel Dekker, New York, 2003.
  21. K. Lee, I. Park, M. Sunwoo and W. Lee, "AUTOSAR-ready Light Software Architecture for Automotive Embedded Control Systems," Transactions of KSAE, Vol.21, No.1, pp.68-77, 2012. https://doi.org/10.7467/KSAE.2013.21.1.068
  22. I. Park, W. Lee and M. Sunwoo, "Application Software Modeling and Integration Metho dology using AUTOSAR-ready Light Software Architecture," Transactions of KSAE, Vol.20, No.6, pp.117-125, 2012.

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