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Development and Real-Time Implementation of Recurrent Neural Networks for AFR Prediction and Control

Journal Article
2008-01-0993
ISSN: 1946-4614, e-ISSN: 1946-4622
DOI: https://doi.org/10.4271/2008-01-0993
Published April 14, 2008 by SAE International in United States
Development and Real-Time Implementation of Recurrent Neural Networks for AFR Prediction and Control
Sector:
Citation: Arsie, I., Pianese, C., and Sorrentino, M., "Development and Real-Time Implementation of Recurrent Neural Networks for AFR Prediction and Control," SAE Int. J. Passeng. Cars - Electron. Electr. Syst. 1(1):403-412, 2009, https://doi.org/10.4271/2008-01-0993.
Language: English

References

  1. Aquino, C.F. 1981 “Transient A/F Control Characteristics of the 5 Liter Central Fuel Injection Engine” SAE paper 810494
  2. Hendricks, E. Sorenson, S.C. 1991 “SI Engine Controls and Mean Value Engine Modeling” SAE Paper 910258
  3. Arsie, I. Pianese, C. Rizzo, G. Cioffi, V. 2003 “An Adaptive Estimator of Fuel Film Dynamics in the Intake Port of a Spark Ignition Engine” Control Engineering Practice 11 3 303 309
  4. Powell, J.D. Fekete, N.P. Chang, C.F. 1998 “Observer-Based Air-Fuel Ratio Control” IEEE Transactions on Control Systems 18 5 72 83
  5. Locatelli, M. Alfieri, E. Onder, C.H. Geering, H.P. 2006 “Identification of the relevant parameters of the wall-wetting system by extended Kalman filtering” Control Engineering Practice 14 235 241
  6. Vigild, C.W. Andersen, K.P.H. Hendricks, E. 1999 “Towards Robust H-infinity Control of an SI Engine's Air/Fuel Ratio” SAE Paper 1999-01-0854
  7. Choi, S.B. Hedrick, J.K. 1998 “An Observer-Based Controller Design Method for Improving Air/Fuel Characteristics of Spark Ignition Engines” IEEE Transactions on Control Systems Technology 6 3
  8. Manzie, C. Palaniswami, M. Ralph, D. Watson, H. Yi, X. 2002 “Observer Model Predictive Control of a Fuel Injection System with a Radial Basis Function Network Observer” ASME Journal of Dynamic Systems, Measurement, and Control 124 648 658
  9. Haykin, S. 1999 Neural Networks A comprehensive Foundation 2nd Prentice-Hall, Inc. Englewood Cliffs, New Jersey
  10. Nørgaard, M. Ravn, O. Poulsen, N.L. Hansen, L.K. 2000 Neural Networks for Modelling and Control of Dynamic Systems Springer-Verlag London
  11. Patterson, D.W. 1995 Artificial Neural Networks - Theory and Applications Prentice Hall, Inc. Englewood Cliffs, New Jersey
  12. Shayler, P.J. Goodman, M.S. Ma, T. 1996 “Transient Air/Fuel Ratio Control of an S.I. Engine Using Neural Networks” SAE Paper 960326
  13. Ortmann, S. Glesner, M. Rychetsky, M. Tubetti, P. Morra, G. 1998 “Engine Knock Estimation Using Neural Networks based on a Real-World Database” SAE Paper 980513
  14. Capriglione, D. Liguori, C. Pianese, C. Pietrosanto, A. 2003 “On-line Sensor Fault Detection Isolation, and Accomodation in Automotive Engines” IEEE Transactions on Instrumentation and Measurement 52 4 1182 1189
  15. Dovifaaz, X. Ouladsine, M. Rachid, A. 1999 “Optimal Control of a Turbocharged Diesel Engine Using Neural Network” Proceedings of the 14th IFAC World Congress, IFAC-8b-009 Beijing, China July 5-9 1999
  16. Tan, Y. Saif, M. 2000 “Neural-networks-based nonlinear dynamic modeling for automotive engines” Neurocomputing 30 129 142
  17. Alippi, C. de Russis, C. Piuri, V. 2003 “Observer-Based Air-Fuel Ratio Control” IEEE Transactions on Systems, Man, and Cybernetics - Part C: Applications and Reviews 33 2 259 268
  18. Arsie, I. Pianese, C. Sorrentino, M. 2007 “A Neural Network Air-Fuel Ratio Estimator for Control and Diagnostics in Spark-Ignited Engines” Proceedings of the Fifth IFAC Symposium on Advances in Automotive Control Monterey (CA, USA) August 20-22 2007
  19. Arsie, I. Marotta, M.M. Pianese, C. Sorrentino, M. 2006 “Experimental Validation of a Neural Network Based A/F Virtual Sensor for SI Engine Control” SAE paper 2006-01-1351
  20. Yasuri, Y. Shusuke, A. Ueno, M. Yoshihisa, I. 2000 “Secondary O2 Feedback Using Prediction and Identification Type Sliding Mode Control” SAE Paper 2000-01-0936
  21. Yoo, I.K. Upadhyay, D. Rizzoni, G. 1999 “A Control-Oriented Carbon Canister Model” SAE Paper 1999-01-1103
  22. Arsie, I. Pianese, C. Sorrentino, M. 2004 “Nonlinear Recurrent Neural Networks for Air Fuel Ratio Control in SI engines” SAE paper 2004-01-1364
  23. Arsie, I. Pianese, C. Sorrentino, M. 2006 “A procedure to enhance identification of recurrent neural networks for simulating air-fuel ratio dynamics in SI engines” Engineering Applications of Artificial Intelligence 19 1 65 77
  24. Maloney, P. J. 2001 “A Production Wide-Range AFR - Response Diagnostic Algorithm for Direct-Injection Gasoline Application” SAE Paper 2001-01-0558
  25. Hussain, M.A. 1999 “Review of the applications of neural networks in chemical process control simulation and online implementation” Artificial Intelligence in Engineering 13 55 68
  26. Inagaki, H. Ohata, A. Inoue, T. 1990 “An Adaptive Fuel Injection Control with Internal Model in Automotive Engines” Proceedings of IECON ′90, 16th Annual Conference of IEEE 78 83

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