The main objective of this work is to design a virtual sensor capable of estimating variables that are unmeasurable on-line in the air and charging subsystem of a Diesel engine. In order to achieve this objective, a data-driven approach is pursued. In particular, we show that combining high-gain observers and feed-forward neural networks, it is possible to design an observer for the air and charging system of a Diesel engine on the basis of data acquired via a test bench. The performance of this observer is evaluated in a real experimental setting.
Alfieri, V., Pedicini, C., Possieri, C. (2020). Design of a neural virtual sensor for the air and charging system in a Diesel engine. In 21st IFAC World Congress (pp.14061-14066). Amsterdam : Elsevier [10.1016/j.ifacol.2020.12.937].
Design of a neural virtual sensor for the air and charging system in a Diesel engine
Possieri C.
2020-01-01
Abstract
The main objective of this work is to design a virtual sensor capable of estimating variables that are unmeasurable on-line in the air and charging subsystem of a Diesel engine. In order to achieve this objective, a data-driven approach is pursued. In particular, we show that combining high-gain observers and feed-forward neural networks, it is possible to design an observer for the air and charging system of a Diesel engine on the basis of data acquired via a test bench. The performance of this observer is evaluated in a real experimental setting.| File | Dimensione | Formato | |
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