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Modeling and Adaptive Control of an Omni-Mecanum-Wheeled Robot

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DOI: 10.4236/ica.2013.42021    8,648 Downloads   11,768 Views   Citations


The complete dynamics model of a four-Mecanum-wheeled robot considering mass eccentricity and friction uncertainty is derived using the Lagrange’s equation. Then based on the dynamics model, a nonlinear stable adaptive control law is derived using the backstepping method via Lyapunov stability theory. In order to compensate for the model uncertainty, a nonlinear damping term is included in the control law, and the parameter update law with σ-modification is considered for the uncertainty estimation. Computer simulations are conducted to illustrate the suggested control approach.

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

Lin, L. and Shih, H. (2013) Modeling and Adaptive Control of an Omni-Mecanum-Wheeled Robot. Intelligent Control and Automation, 4, 166-179. doi: 10.4236/ica.2013.42021.


[1] R. Rojas, “A Short History of Omnidirectional Wheels.” /shortomni.pdf
[2] K.-L. Han, H. Kim and J. S. Lee, “The Sources of Position Errors of Omni-Directional Mobile Robot with Mecanum Wheel,” IEEE International Conference on Systems, Man and Cybernetics, 2010, pp. 581-586.
[3] N. Ould-Khessal, “Design and Implementation of a Robot Soccer Team Based on Omni-directional Wheels,” 2nd Canadian Conference on Computer and Robot Vision, 9-11 May 2005, pp. 544-549. doi:10.1109/CRV.2005.31
[4] O. Diegel, A. Badve, G. Bright, J. Potgieter and S. Tlale, “Improved Mecanum Wheel Design for Omni-Directional Robots,” Proceedings of the Australasian Conference on Robotics and Automation, Auckland, 2002, pp. 117-121.
[5] H. Asama, M. Sato, L. Bogoni, H. Kaetsu, A. Matsumoto and I. Endo, “Development of an Omni-Directional Mobile Robot with 3 DOF Decoupling Drive Mechanism,” IEEE International Conference on Robotics and Automation, Nagoya, 1995, pp. 1925-1930.
[6] R. Siegwart, I. R. Nourbakhsh and D. Scaramuzza, “Introduction to Autonomous Mobile Robots,” 2nd Edition, MIT Press, London, 2011.
[7] C.-C. Tsai, F.-C. Tai and Y.-R. Lee, “Motion Controller Design and Embedded Realization for Mecanum Wheeled Omni-Directional Robots,” Proceedings of the 8th World Congress on Intelligent Control and Automation, Taiwan, 2011, pp. 546-551.
[8] N. Tlale and M. de Villiers, “Kinematics and Dynamics Modeling of a Mecanum Wheeled Mobile Platform,” 15th International Conference on Mechatronics and Machine Vision in Practice, Auckland, 2-4 December 2008, pp. 657-662. doi:10.1109/MMVIP.2008.4749608
[9] P. Viboonchaicheep, A. Shimada and Y. Kosaka, “Position Rectification Control for Mecanum Wheeled OmniDirectional Vehicles,” 29th Annual Conference of the IEEE Industrial Electronics Society, Vol. 1, 2003, pp. 854-859.
[10] K.-L. Han, O.-K. Choi, J. Kim, H. Kim and J. S. Lee, “Design and Control of Mobile Robot with MecanumWheel,” ICROS-SICE International Joint Conference, Fakuoka International Congress Center, Japan, 2009, pp. 2932-2937.
[11] J. Park, S. Kim, J. Kim and S. Kim, “Driving Control of Mobile Robot with Mecanum Wheel Using Fuzzy Inference System,” International Conference on Control, Automation and Systems, Gyeonggi-do, 2010, pp. 2519-2523.
[12] C.-C. Tsai and H.-L. Wu, “Nonsingular Terminal Sliding Control Using Fuzzy Wavelet Networks for MecanumWheeled Omni-Directional Vehicles,” IEEE International Conference on Fuzzy Systems, 2010, pp. 1-6.
[13] M. W. Spong, S. Hutchinson and M. Vidyasagar, “Robot Modeling and Control,” Wiley, New York, 2006.
[14] J. T. Spooner, M. Maggiore, R. Ordó?ez and K. M. Passino, “Stable Adaptive Control and Estimation for Nonlinear Systems: Neural and Fuzzy Approximator Techniques,” Wiley, New York, 2002. doi:10.1002/0471221139
[15] C. K. Gau, “Design, Gait Generation and Embedded Microcontroller-Based Single-Axis Servo Controller Implementation for a Biped Walking Robot,” Master Thesis, National Chung Hsing University, Taichung, 2007.

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