Nonlinear Ethanol Gasoline Optimal Control System Based on Hammerstein Model

Zhong Ming Luo; Zhuo Fu Liu; Fan Wang; Ling Sen  Lin

doi:10.4028/www.scientific.net/AMR.765-767.1889

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Nonlinear Ethanol Gasoline Optimal Control System Based on Hammerstein Model
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 765-767Nonlinear Ethanol Gasoline Optimal Control System...

Nonlinear Ethanol Gasoline Optimal Control System Based on Hammerstein Model

Abstract:

In this paper, a Hammerstein model based on forward feedback neural networks was proposed to tackle the optimal control of a nonlinear MISO system. The method offers a solution to the optimization of internal models. The optimal control with the preset value was implemented under both static and dynamic optimal indices. The simulation results showed that the algorithm can fulfill the task of blending ethanol and gasoline effectively.