Title :
Velocity estimation using EKF for caster odometers — Numerical verification
Author :
Yonezawa, Yuta ; Sekiguchi, Kazuma ; Nonaka, Kenichiro
Author_Institution :
Fac. of Eng., Tokyo City Univ., Tokyo, Japan
Abstract :
In this paper, velocity estimation method for caster odometers is proposed. Caster odometer is a sensor of travel distance and attitude angle using caster mechanism that has two-degree of rotational freedoms. We calculate velocities of a vehicle utilizing the output measured by caster odometers, however, the caster mechanism has nonlinearity component. To deal with the nonlinearity of the caster mechanism, a velocity is estimated by the extended Kalman filter. It is expected to reduce the effect of noise with higher precision than conventional methods (approximated differentiation, extended Luenberger observer). We confirm the accuracy of the proposed estimation by comparing to the conventional method in numerical simulation.
Keywords :
Kalman filters; distance measurement; nonlinear filters; sensors; velocity control; velocity measurement; EKF; approximated differentiation; attitude angle; caster mechanism; caster odometers; extended Kalman filter; extended Luenberger observer; nonlinearity component; numerical simulation; numerical verification; travel distance; vehicle velocities; velocity estimation method; Kalman filters; Mobile robots; Noise; Observers; Robot sensing systems; Vehicles;
Conference_Titel :
Mechatronics (ICM), 2015 IEEE International Conference on
Conference_Location :
Nagoya
DOI :
10.1109/ICMECH.2015.7084028