Title :
Vehicle velocity estimation by dynamic inversion of wheel force generation
Author_Institution :
Univ. of Appl. Sci. Osnabruck, Osnabruck, Germany
Abstract :
Automotive vehicle velocity estimation with only steering angle and angular wheel velocities as available measurements is considered in the paper at hand. The approach is based on dynamic inversion of wheel force generation combined with stationary Kalman filter design. A detailed assessment of the results by comparison with measured data is given. Possible applications include hierarchical monitoring of vehicle dynamics sensor networks.
Keywords :
Kalman filters; angular velocity measurement; automobiles; steering systems; vehicle dynamics; wheels; angular wheel velocities; automotive vehicle velocity estimation; dynamic inversion; hierarchical monitoring; stationary Kalman filter design; steering angle; vehicle dynamics sensor networks; wheel force generation; Acceleration; Axles; Estimation; Kalman filters; Vehicle dynamics; Vehicles; Wheels;
Conference_Titel :
Control Conference (ECC), 2009 European
Conference_Location :
Budapest
Print_ISBN :
978-3-9524173-9-3
