Development and real-time implementation of recurrent neural networks for AFR prediction and control

SAE International Journal of Passenger Cars - Electronic and Electrical Systems

Volumn 1, Issue 1, 2009, Pages 403-412

  Arsie, Ivan ^a   Pianese, Cesare ^a   Sorrentino, Marco ^a  

^a UNIVERSITY OF SALERNO   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

AIR FUEL RATIOS; CONTROL PERFORMANCE; CONTROL STRATEGIES; CONTROLLER PERFORMANCE; ENGINE TEST AUTOMATION; EXPERIMENTAL IDENTIFICATION; EXPERIMENTAL TEST; GENERALIZATION CAPABILITY; HARDWARE AND SOFTWARE; HIGH POTENTIAL; INTEGRATED SYSTEMS; PREDICTION AND CONTROL; REAL-TIME IMPLEMENTATIONS; SPARK-IGNITED ENGINES; TRAINING PROCEDURES;

AIR ENGINES; FORECASTING; REAL TIME CONTROL; SOFTWARE TESTING;

RECURRENT NEURAL NETWORKS;

EID: 79959602401     PISSN: 19464614     EISSN: 19464622     Source Type: Journal    
DOI: None     Document Type: Article

References (26)

1. Aquino, C.F., 1981, Transient A/F Control Characteristics of the 5 Liter Central Fuel Injection Engine, SAE paper 810494.
2. Hendricks, E., and Sorenson, S.C., 1991, SI Engine Controls and Mean Value Engine Modeling, SAE Paper 910258.
3. Arsie, I., Pianese, C., Rizzo, G., and Cioffi, V., 2003, "An Adaptive Estimator of Fuel Film Dynamics in the Intake Port of a Spark Ignition Engine", Control Engineering Practice, vol. 11, no. 3, pp. 303-309.
4. Powell, J.D., Fekete, N.P., and Chang, C.F., 1998, "Observer-Based Air-Fuel Ratio Control", IEEE Transactions on Control Systems, vol. 18, no. 5, pp. 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, vol. 14, pp. 235-241.
6. Vigild, C.W., Andersen, K.P.H., and Hendricks, E., 1999, "Towards Robust H-infinity Control of an SI Engine's Air/Fuel Ratio", SAE Paper 1999-01-0854.
7. [7] Choi, S.B., and 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, vol. 6, no. 3.
8. Manzie, C., Palaniswami, M., Ralph, D., Watson, H., and 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, vol. 124, pp. 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., and 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., and 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., and 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., and Pietrosanto, A., 2003, "On-line Sensor Fault Detection Isolation, and Accomodation in Automotive Engines", IEEE Transactions on Instrumentation and Measurement, vol. 52, no. 4, pp. 1182-1189.
15. th IFAC World Congress, IFAC-8b-009, Beijing, China, July 5-9,1999.
16. Tan, Y., and Saif, M., 2000, "Neural-networks-based nonlinear dynamic modeling for automotive engines", Neurocomputing, vol. 30, pp. 129-142.
17. Alippi, C., de Russis, C., and Piuri, V., 2003, "Observer-Based Air-Fuel Ratio Control", IEEE Transactions on Systems, Man, and Cybernetics - Part C: Applications and Reviews, vol. 33, no. 2, pp. 259-268.
18. Arsie, I., Pianese, C., and 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. [19] Arsie, I., Marotta, M.M., Pianese, C., and Sorrentino, M., 2006, "Experimental Validation of a Neural Network Based A/F Virtual Sensor for SI Engine Control", SAE paper 2006-01-1351.
20. [20] Yasuri, Y., Shusuke, A., Ueno, M., and Yoshihisa, I., 2000, "Secondary O2 Feedback Using Prediction and Identification Type Sliding Mode Control", SAE Paper 2000-01-0936.
21. [21] Yoo, I.K., Upadhyay, D., and Rizzoni, G., 1999, "A Control-Oriented Carbon Canister Model", SAE Paper 1999-01-1103.
22. [22] Arsie, I., Pianese, C., and 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., and 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, vol. 19, no. 1, pp. 65-77.
24. [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, vol. 13, pp. 55-68.
26. Inagaki, H., Ohata, A., and Inoue, T., 1990, "An Adaptive Fuel Injection Control with Internal Model in Automotive Engines" Proceedings of IECON '90, 16th Annual Conference of IEEE, pp. 78-83.