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Conference Papers Year : 2021

Evaluating the maximum domain of parameter model uncertainties in the combustion of a Diesel engine

Abstract

This paper proposes a LQR control algorithm and a robustness stability analysis to the model parameter uncertainties so that the mass air flow and the manifold absolute pressure of an experimental Diesel engine can be performed. The corresponding weight matrices of the LQR control are chosen based on the maximum admissible deviation values of the state matrices and command vector from the state-space system representation. This approach leads to finding the maximum upper bounds of the model parameter uncertainties so that the closed-loop system preserves its stability.
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Dates and versions

hal-03448410 , version 1 (26-11-2021)

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Mihaela-Ancuta Mone, Sette Diop, Dumitru Popescu. Evaluating the maximum domain of parameter model uncertainties in the combustion of a Diesel engine. 25th International Conference on System Theory, Control and Computing (ICSTCC 2021), Oct 2021, Iasi, Romania. pp.12-17, ⟨10.1109/ICSTCC52150.2021.9607091⟩. ⟨hal-03448410⟩
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