Deep neural network based data-driven virtual sensor in vehicle semi-active suspension real-time control

This research presents a data-driven Neural Network (NN)-based Virtual Sensor (VS) that estimates vehicles’ Unsprung Mass (UM) vertical velocity in real-time. UM vertical velocity is an input parameter used to control a vehicle’s semi-active suspension. The extensive simulation-based dataset coveri...

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Egile Nagusiak: Paulius Kojis, Eldar Šabanovič, Viktor Skrickij
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: Vilnius Gediminas Technical University 2022-05-01
Saila:Transport
Gaiak:
virtual sensor
real-time
semi-active suspension
vehicle dynamics
deep neural network
deep learning
Sarrera elektronikoa:https://journals.vilniustech.lt/index.php/Transport/article/view/16919
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