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Fuzzy modeling and control of an engine air inlet with exhaust gas recirculation
Affiliation:1. Laboratoire LAAS/CNRS - 7, av. du Colonel Roche - 31077 Toulouse Cedex, France;2. INSA - Complexe Scientifique de Rangueil - 31077 Toulouse Cedex, France;3. SIEMENS Automotive SA - B.P.1149 av. du Mirail - 31036 Toulouse Cedex, France;1. Systems and Control Engineering Group, Department of Electrical Engineering, Delft University of Technology and Katholieke University Leuven, P.O. Box 5031, 2600 GA Delft, Netherlands;2. Department of Agro-Engineering and Economics, Katholieke Universiteit Leuven, Kasteelpark Arenberg 30, B-3001 Leuven, Belgium;3. Department of Engineering Cybernetics, Norwegian University of Science and Technology, N-7491 Trondheim, Norway;1. School of Engineering, Mechanical and Manufacturing Engineering, The University of Birmingham, Birmingham B15 2TT, UK;2. Johnson Matthey Technology Centre, Blount''s Court, Sonning Common, Reading RG4 9NH, UK;1. IFP, 1 et 4, Ave. Bois Préau, 92852 Rueil Malmaison Cedex, France;2. Département de Chimie-Physique des Réactions, UMR No. 7630 CNRS, INPL-ENSIC, 1 rue Grandville, BP 20451, 54001 Nancy Cedex, France
Abstract:The purpose of this paper is to present an original fuzzy modeling method applied to a highly non- linear physical system, an engine air inlet with exhaust gas recirculation. This system is modeled with fuzzy logic rules of the Takagi–Sugeno type. The rule base switches between local linear models defined in the whole state space. The control objective is to preserve the linear behavior of the closed-loop system in all operating conditions. To reach this objective, the linear control tools are applied to each local linear model. The fuzzy model rule-base structure is then used to switch between local controllers.
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