This paper compares four observers (virtual sensors) of vehicle sideslip angle and lateral forces. The first is linear and uses a linear vehicle model. The remaining observers use an extended nonlinear model. The three nonlinear observers are: extended Luenberger observer, extended Kalman filter and sliding-mode observer. Modeling, model simplification, and observers are described, and an observability analysis is performed for the entire vehicle trajectory. The paper also deals with three different sets of sensors to see the impact of observers results. Comparison is first done by simulation on a valid vehicle simulator, and then observers are used on experimental data. Our study shows that observers are more accurate than simple models as regards unmeasurable variables such as sideslip angle and transversal forces. It also shows that speed of center of gravity is not an indispensable variable here.
Virtual sensor: application to vehicle sideslip angle and transversal forces
IEEE Transactions on Industrial Electronics ; 51 , 2 ; 278-289
2004
12 Seiten, 14 Quellen
Article (Journal)
English
Vehicle sideslip angle observers
Tema Archive | 2003
|Estimation process for tire-road forces and vehicle sideslip angle
Tema Archive | 2007
|Vehicle Sideslip Angle Estimation: A Review
SAE Technical Papers | 2018
|A Deep Learning based Virtual Sensor for Vehicle Sideslip Angle Estimation: Experimental Results
SAE Technical Papers | 2018
|A Deep Learning based Virtual Sensor for Vehicle Sideslip Angle Estimation: Experimental Results
British Library Conference Proceedings | 2018
|