Research on Semi-active Air Suspensions of Heavy Trucks Based on a Combination of Machine Learning and Optimal Fuzzy Control

A combination of machine learning (ML) and optimal fuzzy control (OFC) is proposed for the semi-active air suspensions of heavy trucks to further improve ride comfort and road friendliness. To obtain the study aim, a vehicle dynamics model with 10 degrees-of-freedom (10-DOF) is established in the MA...

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Veröffentlicht in:	SAE International Journal of Vehicle Dynamics, Stability, and NVH Jg. 5; H. 2; S. 159 - 172
Hauptverfasser:	Yuan, Huan, Nguyen, Vanliem, Zhou, Huaxiang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Warrendale SAE International 12.03.2021 SAE International, a Pennsylvania Not-for Profit
Schlagworte:	Degrees of freedom Dynamic loads Fuzzy control Genetic algorithms Heavy duty trucks Heavy trucks Machine learning Matlab Methods Optimal fuzzy control Passenger comfort Ride comfort Road friendliness Roads & highways Semi-active air suspension Semiactive suspensions Shafts (machine elements) Vehicles Working conditions
ISSN:	2380-2162, 2380-2170
Online-Zugang:	Volltext
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