Abstract
This paper presents a novel dynamic modelling approach for omnidirectional mobile robots (OMRs) with powered caster wheels (PCWs). For the conventional dynamic modeling, the internal forces induced by the redundant actuation of the OMR are not analyzed, which will affect the dynamic performance and result in unstable robot motions. To eliminate the internal forces, a general nonsqueezing load distribution model is proposed and integrated with the dynamic model of the OMR. By the nonsqueezing dynamic model, the driving torques applied by the PCWs all contribute to the motion of the OMR. Consequently, the required driving torques are reduced compared to the conventional torque distribution method, which will improve the dynamic performance and energy efficiency for the OMR. To illustrate the effectiveness of the nonsqueezing dynamic model, simulation examples are provided.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Yang, G., Li, Y., Lim, T.M., Lim, C.W.: Decoupled powered caster wheel for omnidirectional mobile platforms. In: 2014 IEEE 9th Conference on Industrial Electronics and Applications (ICIEA), pp. 954–959. IEEE (2014)
Campion, G., Bastin, G., Dandrea-Novel, B.: Structural properties and classification of kinematic and dynamic models of wheeled mobile robots. IEEE Trans. Robot. Autom. 12(1), 47–62 (1996)
Holmberg, R., Khatib, O.: Development and control of a holonomic mobile robot for mobile manipulation tasks. Int. J. Robot. Res. 19(11), 1066–1074 (2000)
Li, Y.P., Oetomo, D., Ang, M.H., Lim, C.W.: Torque distribution and slip minimization in an omnidirectional mobile base. In: International Conference on Advanced Robotics (2005)
Chung, J.H., Yi, B.J., Kim, W.K., Lee, H.: The dynamic modeling and analysis for an omnidirectional mobile robot with three caster wheels. In: IEEE International Conference on Robotics & Automation (2003)
Yong, L., Jia, Y., Ning, X.: Dynamic model and adaptive tracking controller for 4-powered caster vehicle. In: IEEE International Conference on Robotics & Automation (2010)
Zhao, D., Deng, X., Yi, J.: Motion and internal force control for omnidirectional wheeled mobile robots. IEEE/ASME Trans. Mechatron. 14(3), 382–387 (2009)
Walker, I.D., Freeman, R.A., Marcus, S.I.: Analysis of motion and internal loading of objects grasped by multiple cooperating manipulators. Int. J. Robot. Res. 10(4), 396–409 (1991)
Chung, J.H., Yi, B.J., Kim, W.K.: Analysis of internal loading at multiple robotic systems. J. Mech. Sci. Technol. 19(8), 1554–1567 (2005)
Erhart, S., Hirche, S.: Internal force analysis and load distribution for cooperative multi-robot manipulation. IEEE Trans. Rob. 31(5), 1238–1243 (2017)
Udwadia, F.E., Kalaba, R.E.: A new perspective on constrained motion. Proc. Math. Phys. Sci. 439(1906), 407–410 (1992)
Jia, W., Yang, G., Gu, L., Zheng, T.: Dynamics modelling of a mobile manipulator with powered castor wheels. In: IEEE International Conference on Cybernetics and Intelligent Systems, pp. 730–735 (2017)
Acknowledgement
This research is supported by National Key R&D Program of China (2017YFB1300400), NSFC-Zhejiang Joint Fund (U1509202), Equipment Pre-research fund Project (6140923010102), and Innovation Team of Key Components and Technology for the New Generation Robot (2016B10016).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Jia, W., Yang, G., Wang, C., Liu, Q., Fang, Z., Chen, C. (2019). A Nonsqueezing Torque Distribution Method for an Omnidirectional Mobile Robot with Powered Castor Wheels. In: Yu, H., Liu, J., Liu, L., Ju, Z., Liu, Y., Zhou, D. (eds) Intelligent Robotics and Applications. ICIRA 2019. Lecture Notes in Computer Science(), vol 11740. Springer, Cham. https://doi.org/10.1007/978-3-030-27526-6_62
Download citation
DOI: https://doi.org/10.1007/978-3-030-27526-6_62
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-27525-9
Online ISBN: 978-3-030-27526-6
eBook Packages: Computer ScienceComputer Science (R0)