Modelling and control of longitudinal vehicle motion

Author

Germann, St ; Isermann, R.

Author_Institution

Inst. of Autom. Control, Tech. Univ. of Darmstadt, Germany

Volume

1

fYear

1994

fDate

29 June-1 July 1994

Firstpage

1

Abstract

Discusses model based methods for controlling vehicle dynamics. A nonlinear model describing the longitudinal motion of a vehicle is presented. This model consists of a braking system, a powertrain and mass-damper system with damping from aerodynamical drag and rolling resistance. According to the most essential time constants, parameter estimation is used to determine the mass and the aerodynamical drag of the vehicle. As an example for controller design, a combination of fuzzy logic and a classical feedback linearization is presented. Furthermore, some examples of a velocity controller are shown using the described controlling techniques.

Keywords

automobiles; braking; dynamics; intelligent control; motion control; nonlinear control systems; parameter estimation; velocity control; aerodynamical drag; braking system; classical feedback linearization; controller design; fuzzy logic; longitudinal vehicle motion; mass-damper system; model based methods; nonlinear model; parameter estimation; powertrain; rolling resistance; vehicle dynamics; velocity controller; Damping; Drag; Fuzzy logic; Linear feedback control systems; Mechanical power transmission; Motion control; Parameter estimation; Power system modeling; Vehicle dynamics; Velocity control;

fLanguage

English

Publisher

ieee

Conference_Titel

American Control Conference, 1994

Print_ISBN

0-7803-1783-1

Type

conf

DOI

10.1109/ACC.1994.751681

Filename

751681