Abstract
This paper presents an advanced control structure and its simulation environment for a non-linear hybrid system: a GDI engine. The engine management system proposed is based on a hierarchical structure that uses fuzzy models of the engine to define piecewise linear controllers.
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References
S. Boverie, P. Cerf, J.M. Le Quellec Fuzzy sliding mode control, Application to idle speed control IFEE International Conference on Fuzzy Systems Orlando (1994).
V. Chaumerliac, P. Bidan, S. Boverie Control oriented Spark Engine Model Control Eng. Practice Vol. 2, Nr. 3, pp. 381–387, (1994).
A. Lawrence, W. J. Rugh Gain scheduling dynamic linear controllers for non-linear plant, Automatica, 31, pp. 381–390, (1995).
D. Driankov, R. Palm, U. Rehfuss A Takagi-Sugeno fuzzy gain scheduler, 5th IEEE International Conference on Fuzzy Systems, New Orleans, USA, Vol. 3, pp. 1053–1059, (1996).
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© 2000 Springer-Verlag Berlin Heidelberg
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Passaquay, D., Boverie, S., Bross, M., Titli, A. (2000). Fuzzy Modelling and Control of a GDI Engine. In: Krüger, S., Gessner, W. (eds) Advanced Microsystems for Automotive Applications 2000. VDI-Buch. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-18146-7_22
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DOI: https://doi.org/10.1007/978-3-642-18146-7_22
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-62107-9
Online ISBN: 978-3-642-18146-7
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