Abstract
This paper concerns trajectory tracking control of AGV. The model of forked AGV was simplified from a three-wheeled vehicle model to a “bicycle” model. The dynamic model of vehicle lateral motion was built depending on Newtown’s second law and the analysis of lateral tire forces. The optimal control linear quadratic regulator was applied to achieve trajectory tracking control. Use the MATLAB and CarSim to simulate. The satisfied results proved that the control algorithm was effective and could make the system stable.
Publisher
Trans Tech Publications, Ltd.
Reference10 articles.
1. J. Park, J. Lee, Y. Park and S. W. Kim: AGV Parking System based on Tracking Landmark, Proceedings of the 6th IEEE Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, vol. 01 (2009).
2. Iris F.A. Vis: Survey of research in the design and control of automated guided vehicle systems, European Journal of Operational Research, vol. 170 (2006), issue 3, pp.677-709.
3. Y. Kanayama, Y. Kimura, F. Miyazaki and T. Noguchi: A stable tracking control method for an autonomous mobile robot, Proceedings of IEEE International Conference on Robotics and Automation, vol. 1 (1990), pp.384-389.
4. W. G. Wu, H.T. Chen and Y. J. Wang: Adaptive exponential stabilization of mobile robots with uncertainties, Proceedings of the 38th IEEE Conference on Decision and Control, vol. 4 (1999), pp.3484-3489.
5. I. Rhee, S. Park and C. K. Ryoo: A tight path following algorithm of an UAS based on PID control, Proceedings of IEEE SICE Annual Conference, pp.1270-1273, (2010).
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2 articles.
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