Linearised neural predictive control - A turbocharged SI engine application

Guillaume Colin (1) , Yann Chamaillard (1) , Alain Charlet (1) , Gérard Bloch (2) , Gilles Corde (3)

1 LME - Laboratoire de Mécanique et Énergétique
2 CRAN - Centre de Recherche en Automatique de Nancy
3 IFPEN - IFP Energies nouvelles

Nowadays, (engine) downsizing using turbocharging appears as a major way for reducing fuel consumption. With this aim in view, the air actuators (throttle, Turbo WasteGate) control is needed for an efficient engine torque control particularly to reduce pumping losses and to increase efficiency. This work proposes Nonlinear Model Predictive Control (NMPC) of the air actuators for turbocharged SI engines where the predictions are achieved by a neural model. The results obtained from a test bench of a Smart MCC engine show the real time applicability of the proposed method based on on-line linearization and the good control performances (good tracking, no overshoot) for various engine speeds.

Mots clés: predictive control; Nonlinear Model Predictive Control (NMPC); neural networks; turbocharged SI engine; downsizing; torque control

Domaines: Automatique; Automatique / Robotique

Guillaume Colin, Yann Chamaillard, Alain Charlet, Gérard Bloch, Gilles Corde. Linearised neural predictive control - A turbocharged SI engine application. SAE 2005 Transactions Journal of Engines, 2006, 114 (3), pp.101-108. ⟨hal-00121214⟩