The contribution described in this paper is concentrated on the integration of exhaust gas recirculation (EGR) system into the process of combustion in an optimal manner. In practice, deriving a state-space model of this actuator is an energetic task as a result of involving some uncertain chemical reactions. To alleviate the effect of unobserved phenomena, which does not seem to be easy in modeling, an improved Gaussian Process (GP) is represented for identifying such dynamics. In this approach, practical modification in general formulation of GP is provided based on proportional feedback gain adjustment. Afterwards, the obtained model is considered for design of optimal model-based control strategy. The whole aim is focused on achieving a green economically gasoline engine by optimizing the trend of fuel consumption. Eventually, simulation results illustrate the effectiveness of proposed structure in EGR systems.@en

This paper presents an improved scheme of fractional PID controller applied to the torque control problem of spark ignition (SI) engines. The objectives are to produce a minimum torque tracking error while obtaining fewer fuel consumption during the process of combustion. This is then resulted to provide a fast and monotonic air flow response into the engine cylinders by adjusting the throttle and EGR plate angle and the cam timing. This consideration also pushes the engine to work in its safe operational condition, avoiding from both knocking and misfiring damage. Afterwards, a preliminary investigation to obtain maximum efficiency is conducted on the idea of exploiting Genetic Algorithm that is commonly used in parallel optimization of controller coefficients. Eventually, simulation results illustrate effectiveness of proposed scheme in comparison with classical PID controller method.

@en