Abstract
Autonomous Guided Vehicle (AGV) is an ensemble of various parts and subsystems and hence prone to operational errors induced due to manufacturing and assembly tolerances. Moreover, the controls of the various actuators are also prone to inaccuracies due to technical limitation of the control hardware. These mechanical and control limitations along with actuator latencies manifest cumulatively as errors in the motion of the AGV. In presence of these errors, vehicle does not faithfully follow the commands issued by the control algorithm and in turn results in path following and stop** inaccuracies. It is imperative to minimize the effect of these errors to achieve the desired repeatability and precision required for the satisfactory operation of the system. The current paper discusses the methodologies for measurement and compensation of systematic errors like difference in wheels orientation and alignments, offset of laser navigator, uncertainty of wheel diameter, etc. The paper proposes formulation of the tuning procedure for a quad configuration AGV. The paper also presents the resulting improvements achieved in AGV performance, in path tracking and positional repeatability at material transfer stations.
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References
P.K. Pal, R. Sakrikar, P.V. Sarngadharan, S. Sharma, V.K. Shrivastava, V. Dave, N. Singh, A.P. Das, Development of an AGV-based intelligent material distribution system, Curr. Sci. J. 101(8) (2011)
N. Singh, P.V. Sarngadharan, P.K. Pal, AGV scheduling for automated material distribution—a case study, J. Intelligen. Manufact. 20(4) (2009). https://doi.org/10.1007/s10845-009-0283-9
Nav-200 Laser Positioning System for Navigational Support, SICK AG Waldkirch, Germany (2006)
J. Borenstein, L. Feng, UMBmark: a bench-mark test for measuring odometry errors in mobile robots, in SPIE Conference on Mobile Robots (Philadelphia, Oct 22–26, 1995)
J. Borenstein, L. Feng, Measurement and correction of systematic odometry errors in mobile robots. IEEE Trans. Robot. Automat. 12(6) (1996)
A. Martinelli, The accuracy on the parameter estimation of an odometry system of a mobile robot, in Proceedings of IEEE International Conference on Robotics and Automation, vol. 2, pp. 1378–1383 (2002)
R.C. Coulter, Implementation of the Pure Pursuit Path Tracking Algorithm. Technical Report CMU- RI-TR-9201, Carnegie Mellon
V. Dave, S. Sharma, P.K. Pal, Path tracking of mobile robots with pure pursuit algorithm, in National Conference on Robotics and Intelligent Manufacturing Process (Bharat Heavy Electricals Limited, Hyderabad, 2009)
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© 2019 Springer Nature Singapore Pte Ltd.
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Dave, V. et al. (2019). Tuning Procedure for Correction of Systematic Errors in a Quad Configuration AGV. In: Badodkar, D., Dwarakanath, T. (eds) Machines, Mechanism and Robotics. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-10-8597-0_43
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DOI: https://doi.org/10.1007/978-981-10-8597-0_43
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