Skip to main content
Log in

Nonlinear observer-based control design and experimental validation for gasoline engines with EGR

  • Published:
Control Theory and Technology Aims and scope Submit manuscript

Abstract

This paper presents a nonlinear observer-based control design approach for gasoline engines equipped with exhaust gas recirculation (EGR) system. A mean value engine model is designed for control which includes both the intake manifold and exhaust manifold dynamic focused on gas mass flows. Then, the nonlinear feedback controller based on the developed model is designed for the state tracking control, and the stability of the close loop system is guaranteed by a constructed Lyapunov function. Since the exhaust manifold pressure is usually unmeasurable in the production engines, a nonlinear observer-based feedback controller is proposed by using standard sensors equipped on the engine, and the asymptotic stability of the both observer dynamic system and control dynamic system are guaranteed with Lyapunov design assisted by the detail analysis of the model. The experimental validations show that the observer-based nonlinear feedback controller is able to regulate the intake pressure and exhaust pressure state to the desired values during both the steady-state and transient conditions quickly by only using the standard sensors.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. L. Teodosio, V. De Bellis, F. Bozza. Fuel economy improvement and knock tendency reduction of a downsized turbocharged engine at full load operations through a low-pressure EGR system. SAE International Journal of Engines, 2015, 8(4): 1508–1519.

    Article  Google Scholar 

  2. T. Alger, J. Gingrich, C. Roberts, et al. Cooled exhaust-gas recirculation for fuel economy and emissions improvement in gasoline engines. International Journal of Engine Research, 2011, 12(3): 252–264.

    Article  Google Scholar 

  3. F. Liu, J. M. Pfeiffer, R. Caudle, et al. Low pressure cooled EGR transient estimation and measurement for an turbocharged SI engine. SAE Technical Paper, 2016: DOI https://doi.org/10.4271/2016-01-0618.

    Google Scholar 

  4. S. Hong, I. Park, J. Shin, et al. Simplified decouplerbased multivariable controller with a gain scheduling strategy for the exhaust gas recirculation and variable geometry turbocharger systems in diesel engines. Journal of Dynamic Systems, Measurement, and Control, 2017, 139(5): DOI 10.1115/1.4035236.

    Google Scholar 

  5. A. Ejiri, J. Sasaki, Y. Kinoshita, et al. Transient control of air intake system in diesel engines. Proceedings of the SICE 49th Annual Conference of the Society of Instrument and Control Engineers of Japan, Taipei, China: IEEE, 2010: 503–508.

    Google Scholar 

  6. H. Xie, K. Song, S. Yang, et al. On decoupling control of the VGTEGR system in diesel engines: a new framework. IEEE Transactions on Control Systems Technology, 2016, 24(5): 1788–1796.

    Article  Google Scholar 

  7. J. Wahlström, L. Eriksson. Output selection and its implications for MPC of EGR and VGT in diesel engines. IEEE Transactions on Control Systems Technology, 2013, 21(3): 932–940.

    Article  Google Scholar 

  8. M. Nieuwstadt, I. Kolmanovsky, P. Moraal, et al. EGR-VGT control schemes: Experimental comparison for a high-speed diesel engine. IEEE Control Systems, 2000, 20(3): 63–79.

    Article  Google Scholar 

  9. D. Upadhyay. Modeling and Model Based Control Design of the VGT-EGR System for Intake Flow Regulation in Diesel Engines. Ph.D. dissertation. Columbus: The Ohio State University, 2001.

    Google Scholar 

  10. S. Kim, S. Choi, H. Jin. Pressure model based coordinated control of VGT and dual-loop EGR in a diesel engine air-path system. International Journal of Automotive Technology, 2016, 17(2): 193–203.

    Article  Google Scholar 

  11. K. Siokos, R. Koli, R. Prucka, et al. Physics-based exhaust pressure and temperature estimation for low pressure EGR control in turbocharged gasoline engines. SAE Technical Paper, 2016: DOI https://doi.org/10.4271/2016-01-0575.

    Google Scholar 

  12. J. Lee, H. Lee, M. Sunwoo. Nonlinear sliding mode observer for exhaust manifold pressure estimation in a light-duty diesel engine. International Journal of Automotive Technology, 2014, 15(3): 377–386.

    Article  Google Scholar 

  13. R. Salehi, G. Vossoughi, A. Alasty. A second-order sliding mode observer for fault detection and isolation of turbocharged SI engines. IEEE Transactions on Industrial Electronics, 2015, 62(12): 7795–7803.

    Article  Google Scholar 

  14. S. Kim, H. Jin, S. B. Choi. Exhaust pressure estimation for diesel engines eEquipped with dual-Loop EGR and VGT. IEEE Transactions on Control Systems Technology, 2018, 26(2): 382–392.

    Article  Google Scholar 

  15. S. Matsuo, I. Eiji, I. Yoshiaki, et al. The new Toyota inline 4 cylinder 1.8 L ESTEC 2ZR-FXE gasoline engine for hybrid car. SAE Technical Paper, 2016: DOI https://doi.org/10.4271/2016-01-0684.

    Google Scholar 

  16. J. Wahlström, L. Eriksson. Modelling diesel engines with a variable-geometry turbocharger and exhaust gas recirculation by optimization of model parameters for capturing non-linear system dynamics. Proceedings of the Institution of Mechanical Engineers-Part D: Journal of Automobile Engineering, 2011, 225(7): 960–986.

    Google Scholar 

  17. L. Eriksson, L. Nielsen. Modeling and Control of Engines and Drivelines. John Wiley & Sons, 2014.

    Book  Google Scholar 

  18. J. Heywood. Internal Combustion Engine Fundamentals. New York: Mcgraw-hill, 1988.

    Google Scholar 

  19. J.-J. E. Slotine, W. Li. Applied Nonlinear Control. Englewood Cliffs: Prentice-Hall, 1991.

    MATH  Google Scholar 

  20. Y. Zhang, T. Shen. Cylinder pressure based combustion phase optimization and control in spark-ignited engines. Control Theory and Technology, 2017, 15(2): 83–91.

    Article  MathSciNet  Google Scholar 

  21. Q. Tan, P. Divekar, Y. Tan, et al. Online calibration of combustion phase in a diesel engine. Control Theory and Technology, 2017, 15(2): 129–137.

    Article  Google Scholar 

  22. C. Khajorntraidet, K. Ito. Simple adaptive air-fuel ratio control of a port injection SI engine with a cylinder pressure sensor. Control Theory and Technology, 2015, 13(2): 141–150.

    Article  MathSciNet  Google Scholar 

Download references

Acknowledgements

The authors would like to acknowledge Toyota Motor Corporation, Japan, for technical supports.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Weihai Jiang.

Additional information

Weihai JIANG received M.Sc. Degree in Power Engineering from Tianjin University, China, in 2016. He is currently a Ph.D. candidate of the Department of Engineering and Applied Sciences, Sophia University. His research interests include nonlinear system control, stochastic optimization, optimal control, and control application in automotive powertrain.

Tielong SHEN received the Ph.D. degree in Mechanical Engineering from Sophia University, Tokyo, Japan, in 1992. He has been a Faculty Member with the Department of Mechanical Engineering, Sophia University, since 1992, where he currently serves as a Professor with the Department of Engineering and Applied Sciences. His current research interests include robust control theory, nonlinear and adaptive control, and control applications in automotive engines, mechanical systems, power systems, and hybrid vehicles.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Jiang, W., Shen, T. Nonlinear observer-based control design and experimental validation for gasoline engines with EGR. Control Theory Technol. 17, 216–227 (2019). https://doi.org/10.1007/s11768-019-8212-8

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11768-019-8212-8

Keywords

Navigation