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Optimal multi-model control for nonlinear systems with parametric uncertainties -Diesel Engine case study

Abstract : The paper proposes a novel solution to control the combustion regime of Diesel engines in order to obtain NOx reduction and to minimize fuel consumption. The nonlinear dynamic model associated to a Diesel platform equipped with an EGR and VGT is estimated. The linearized and reduced state model structure has been approximated. The optimal control procedure for the air flow in the intake manifold of the cylinders and the pressure inside the combustion chamber of the Diesel engine is proposed. A multi-model control for nonlinear systems with parametric uncertainties solution is developed. Our procedure is implying the minimization of the multi-model structure by reducing the identification effort of the number of models and associated controllers. The simulation results will be implemented and validated on the experimental Diesel engine.
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https://hal.archives-ouvertes.fr/hal-03087436
Contributor : Sette Diop Connect in order to contact the contributor
Submitted on : Wednesday, December 23, 2020 - 7:52:40 PM
Last modification on : Saturday, November 27, 2021 - 3:01:27 AM

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  • HAL Id : hal-03087436, version 1

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Mihaela Ancuţa Mone, Sette Diop, Dumitru Popescu. Optimal multi-model control for nonlinear systems with parametric uncertainties -Diesel Engine case study. 24th International Conference on System Theory, Control and Computing, October 2020, Sinaia, Romania, Oct 2020, Sinaia, Romania. ⟨hal-03087436⟩

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