Neural modeling and control of a diesel engine with pollution constraints

This paper describes a neural control scheme applied to a turbocharger diesel engine. It presents the specialized training of a neural controller for trajectory tracking of the engine speed with some pollution constraints. A neural model of the engine is firstly designed, including the engine speed and the exhaust gas opacity estimation (pollution criterion). Some simulation results of the proposed control scheme using the model are then presented.