Design, Simulation, and Control of an Omnidirectional Mobile Robot
Nowadays, the design phase of any mechatronic system is mandatory before the implementation and the construction of a prototype. In the design phase, it is crucial to minimize failures, without under-dimensioning, any drive system in the desired prototype, using different simulation tools to test the proposed design under varied conditions.In this paper, the design, the simulation, and the control of a holonomic or omnidirectional mobile robot are presented. The design approach consists of a mathematically based method. The obtained model is an approach of the studied mobile robot, that allows an approach to the system’s behaviour, to a testing platform, and to a simulator for the desired robot, including most of the innerrobot’s interactions. The main contributions of this paper are the presentation and the study case of a proposed structured methodology for the study of any mechatronic-robotic system.
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R. Siegwart and I. R. Nourbakhsh, Introduction to Autonomous Mobile Robots, vol. 23. 2004.
B. Siciliano and O. Khatib, Springer Handbook of Robotics, Second. Cham: Springer International Publishing, 2016.
Caceres, C., Amaya, D., Rosário, J., Simulation, Model and Control of a Quadcopter AR Drone 2.0, (2016) International Review of Mechanical Engineering (IREME), 10 (3), pp. 197-202.
C. Caceres, J. M. Rosario, and D. Amaya, Approach of Kinematic Control for a Nonholonomic Wheeled Robot using Artificial Neural Networks and Genetic Algorithms, 2017 Int. Conf. Work. Bioinspired Intell., pp. 1-6, Jul. 2017.
Cáceres, C., Rosário, J., Amaya, D., Approach to Assistive Robotics Based on an EEG Sensor and a 6-DoF Robotic Arm, (2016) International Review of Mechanical Engineering (IREME), 10 (4), pp. 253-260.
Hernández Beleño, R., Mora Gonzales, P., Avilés Sánchez, O., Ferreira, J., Dynamic Modeling and PID Control of an Underwater Robot Based on the Hardware-in-the-Loop Method, (2016) International Review of Mechanical Engineering (IREME), 10 (7), pp. 482-490.
J. Anderson Mora and D. Amaya, “Virtual Laboratory of Bottling Process with Temperature Control in an Autoclave,” Int. J. Softw. Eng. Its Appl., vol. 9, no. 9, pp. 127–136, 2015.
Y. Zheng, Research on virtual experiment system on PLC education based on teaching materials, Adv. Comput. Sci. Environ., 2011.
A. Safavi, A. Safavi, and P. Veisi, A remote and virtual PLC laboratory via smartphones, E-Learning E-Teaching (2013).
T. Bräunl, Embedded Robotics. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008.
P. H. Oliveira, J. A. Sousa, A. P. Moreira, and P. J. Costa, Modeling and Assessing of Omni-Directional Robots with Three and Four Wheels, in Contemporary Robotics - Challenges and Solutions, InTech, 2009.
R. Dhaouadi, A. Abu Hatab, Dynamic modelling of differential-drive mobile robots using Lagrange and Newton-Euler methodologies: A unified framework, Advances in Robotics and Automation, vol.2, 2013.
J. Cerkala And A. Jadlovská, Nonholonomic Mobile Robot With Differential Chassis Mathematical Modelling And Implementation In Simulink With Friction In Dynamics, Acta Electrotech. Inform., vol. 15, no. 3, pp. 3–8, Sep. 2015.
S. F. R. Alves, J. M. H. Ferasoli, L. K. A. Rincon, and R. A. T. Yamasaki, Conceptual Bases of Robot Navigation Modeling, Control and Applications, in Advances in Robot Navigation, InTech, 2011, p. 26.
Q. Tang and P. Eberhard, Cooperative Search by Combining Simulated and Real Robots in a Swarm under the View of Multibody System Dynamics,” Adv. Mech. Eng., vol. 5, p. 284782, Jan. 2013.
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