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Artificial Intelligence for Combustion Engine Control
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English
Abstract
Existing electronic combustion engine control systems only guarantee a desired air-to-fuel-ratio λ in stationary operation. In order to achieve the desired λ also in in-stationary use of the engine, it is necessary to use new-technology-based control systems.
Artificial Intelligence provides methods to cope with difficulties like wide operation range, unknown nonlinearities and time delay.
We will propose a strategy for control of a Spark Ignition Engine to determine the mass of air inside the combustion chambers with the highest accuracy. Since Neural Networks are universal approximators for multidimensional nonlinear static functions they can be used effectively for identification and compensation purposes of unknown nonlinearities in closed control loops.
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Citation
Lenz, U. and Schroeder, D., "Artificial Intelligence for Combustion Engine Control," SAE Technical Paper 960328, 1996, https://doi.org/10.4271/960328.Also In
References
- Hendricks E. Sorenson S.C. “SI Engine Controls and Mean Value Engine Modelling” SAE technical paper 930859
- Aquino C.F. “Transient A/F Control Characteristics of the 5 Liter Central Fuel Injection Engine” SAE technical paper 810494
- Dobner D.J. “A Mathematical Engine Model for Development of Dynamic Engine Control” SAE technical paper 800054
- Onder C.H. Geering H.P. “Model-Based Multivariable Speed and Air-to-Fuel Ratio Control of a SI Engine” SAE technical paper 930859
- Narendra Kumpati S. Annaswamy Anuradha M. “Stable Adaptive Systems” Prentice-Hall Internatinal, Inc. 1989
- Slotine J.-J.E. Li Weiping “Applied Nonlinear Control” Prentice-Hall, Inc. 1991
- Schroeder D. Schaeffner C. Lenz U. “Neural-Net Based Observers for Sensorless Drives” 20th International Conference on Industrial Electronics Control and Instrumentation IECON '94 Bologna, Italy 1599 1610 3 1994
- Schaeffner C. Schroeder D. Lenz U. “Application of Neural Networks to Motor Control” International Power Electronics Conference, IPEC'95 Yokohoma, Japan 46 51 1 1995
- Specht Donald F. “A General Regression Neural Network” IEEE Transactions on Neural Networks 2 6 568 1991
- Woermann R. Germany 1994