Title :
Dynamic modeling of a skid-steered wheeled vehicle with experimental verification
Author :
Yu, Wei ; Chuy, Oscar, Jr. ; Collins, Emmanuel G., Jr. ; Hollis, Patrick
Author_Institution :
Dept. of Mech. Eng., Florida A&M Univ.-Florida State Univ., Tallahassee, FL, USA
Abstract :
Skid-steered vehicles are often used as outdoor mobile robots due to their robust mechanical structure and high maneuverability. Sliding along with rolling is inherent to general curvilinear motion, which makes both kinematic and dynamic modeling difficult. For the purpose of motion planning this paper develops and experimentally verifies dynamic models of a skid-steered wheeled vehicle for general planar (2D) motion and for linear 3D motion. These models are characterized by the coefficient of rolling resistance, the coefficient of friction, and the shear deformation modulus, which have terrain-dependent values. The dynamic models also include motor saturation and motor power limitations, which enable correct prediction of vehicle velocities when traversing hills. It is shown that the closed-loop system that results from inclusion of the dynamics of the (PID) speed controllers for each set of wheels does a much better job than the open loop model of predicting the vehicle linear and angular velocities. Hence, the closed-loop model is recommended for motion planning.
Keywords :
angular velocity control; closed loop systems; mobile robots; path planning; robot dynamics; robot kinematics; three-term control; PID speed controllers; closed loop system; dynamic modeling; experimental verification; general planar motion; kinematic modeling; linear 3D motion; motion planning; motor power limitations; motor saturation; outdoor mobile robots; robust mechanical structure; skid-steered wheeled vehicle; terrain-dependent values; vehicle angular velocities; vehicle linear velocities; Deformable models; Friction; Kinematics; Mobile robots; Motion planning; Power system modeling; Predictive models; Robustness; Vehicle dynamics; Vehicles;
Conference_Titel :
Intelligent Robots and Systems, 2009. IROS 2009. IEEE/RSJ International Conference on
Conference_Location :
St. Louis, MO
Print_ISBN :
978-1-4244-3803-7
Electronic_ISBN :
978-1-4244-3804-4
DOI :
10.1109/IROS.2009.5354381