Modeling and Control of a Robot Arm on a Two Wheeled Moving Platform

Abstract:

In this paper, the derivation of dynamic model of a robot arm on a two wheeled moving platform, and design of controllers to stabilize the robot arm are presented. The modeling of two wheeled moving platform is conducted through Simmechanics^® toolbox of Matlab^® software. Considered control approaches are PID control and linear quadratic gaussian (LGQ) for the dynamic system. The controllers are designed by using linearized model devised from Simmechanics^®. Simulation studies are discussed. Control approaches are compared in detail in terms of tracking precision, quality of control signal. The aims of this study are derivation of linearized model for designing controllers, and determining the most appropriate controller for the real time system.

• Periodical: Applied Mechanics and Materials (Volumes 789-790)
• Pages: 735-741
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.789-790.735
• Online since: September 2015
• Authors: Mert Onkol, Coşku Kasnakoğlu*
• Keywords: Cascaded PID, LQG, Robot Arm on a Two Wheeled Moving Platform, Series PID

References

[1] J. H. Lee and H. Hashimoto, Controlling Mobile Robots in Distributed Intelligent Sensor Network, IEEE Trans. on Industrial Electronics, vol. 50, pp.890-902, October (2003).

DOI: 10.1109/tie.2003.817488

[2] M. Pinto, A. P. Moreira, and A. Matos, Localization of Mobile Robots Using an Extended Kalman Filter in a LEGO NXT, IEEE Trans. on Education, vol. 55, pp.135-144, Feb. (2012).

DOI: 10.1109/te.2011.2155066

[3] E. Takeuchi and T. Tsubouchi, Sensory Data Processing Middlewares for Service Mobile Robot Applications, in SICE-ICASE International Joint Conf., 2006, pp.1201-1206.

DOI: 10.1109/sice.2006.315366

[4] H. Utz, S. Sablatnög, S. Enderle, and G. Kraetzschmar, Miro-Middleware for Mobile Robot Applications, IEEE Trans. on Robotics and Automation, vol. 18, pp.493-497, August (2002).

DOI: 10.1109/tra.2002.802930

[5] R.P. M. Chan, K. A. Stol, and C.R. Halkyard, Review of Modelling and Control of two-wheeled Robots, Anual Reviews in Control, vol. 37, pp.89-103, (2013).

DOI: 10.1016/j.arcontrol.2013.03.004

[6] K. Sun and V. Lumelsky, Path Planning Among Unknown Obstacles: The Case of a Three-Dimensional Cartesian Arm, IEEE Trans. on Robotics and Automation, vol. 8, pp.776-786, Dec. (1992).

DOI: 10.1109/70.182678

[7] J. Kofman, X. Wu, T. J. Luu, and S. Verma, Teleoperation of a Robot Manipulator Using a Vision-Based Human-Robot Interface, IEEE Trans. on Industrial Electronics, vol. 52, pp.1206-1219, Oct. (2005).

DOI: 10.1109/tie.2005.855696

[8] F. O. Silva and L. H. C. Ferreira, Design and Implementation of a PID Control System for a Coaxial Two-Wheeled Mobile Robot, in IEEE International Symposium on Industrial Electronics (ISIE), pp.1-6, (2013).

DOI: 10.1109/isie.2013.6563736

[9] A. N. K. Nasir, M. A. Ahmad, R. Ghazali, and N. S. Pakheri, Performance Comparison Between Fuzzy Logic Controller (FLC) and PID Controller for a Highly Nonlinear Two-Wheels Balancing Robot, in First International Conference on Informatics and Computational Intelligence, 2011 , pp.176-181.

DOI: 10.1109/ici.2011.37

[10] J, X, Xu, Z. Q. Guo, and T. H. Lee, Design and Implementation of Integral-Sliding Mode Control on an Underactuated Two-Wheeled Mobile Robot, IEEE Trans. on Industrial Electronics, vol. 61, pp.3671-3681, July (2014).

DOI: 10.1109/tie.2013.2282594

[11] A.N.K. Nasir, M.A. Ahmad, and R. M. T. Raja Ismail, The Control of Highly Nonlinear Two Wheels Balancing Robot: A Comparative Assessment Between LQR and PID-PID Control Schemes, in World Academy of Science, Engineering and Technology, vol. 4, pp.176-181, (2010).

[12] A.M. Almeshal, K. M. Goher, and M.O. Tokhi, Dynamic Modelling and Stabilization of a New Configuration of Two-Wheeled Machines, Robotics and Automation Systems, vol. 61, pp.443-472, (2013).

DOI: 10.1016/j.robot.2013.01.006

[13] H. Lee and S. Jung, Balancing and Navigation Control of a Mobile Inverted Pendulum Robot Using Sensor Fusion of Low Cost Sensors, Mechatronics, vol. 22, pp.95-105, (2012).

DOI: 10.1016/j.mechatronics.2011.11.011

[14] K. Patnak, J. Franch, and S. Agrawal, Velocity and Position Control of a wheeled Inverted Pendulum by a partial Feedback Linearization, IEEE Trans. on Robotics, vol. 2, pp.505-513, une (2005).

DOI: 10.1109/tro.2004.840905