Modeling and Identification of Air Suspension in Heavy-Duty Vehicles
A heavy-duty vehicle can benefit from the height control of the chassis that anair suspension provides. For example, to retain a pitch angle parallel to the road,regardless of what load it carries. For the purpose of developing a controller,a model of the air suspension provides evaluation and testing opportunities aswell as it gives the option for more advanced model based controller algorithms.Furthermore, a model can provide with an accurate axle weight estimation. Inthis thesis, both physical and statistical models are developed and parametersare estimated by solving minimization problems. They are then evaluated usingdata collected from a Scania truck, comparing normalized mean-root error valuesas well as residual analysis of each model.
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