Trajectory tracking control method and experiment of AGV
- 1 April 2016
- conference paper
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE) in 2016 IEEE 14th International Workshop on Advanced Motion Control (AMC)
Abstract
Aiming at the trajectory tracking control of AGV in aeronautical manufacturing and automated warehouse, a novel trajectory tracking control method was proposed. Firstly, the kinematic model and trajectory tracking control model of AGV were established. After analysing the reversing problem of AGV in practical situation and the limitations of classic trajectory tracking control method, and based on the similarity between the forward mode and reversing mode of AGV, a novel trajectory tracking control rule was designed and its stability was proved. The trajectory tracking control rule had simpler, less amount of calculation and improved the flexibility and handling efficiency of AGV. Finally, the trajectory tracking control experiments of sinusoid and path consisting of segments and arcs were done on experimental platform. The experiment results verified that the trajectory tracking control method were effective and feasible. The method could meet the requirements of autonomous handing for AGV in aeronautical manufacturing and automated warehouse.Keywords
This publication has 6 references indexed in Scilit:
- Tracking control of mobile robot using ANFISPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2011
- Experimental Verification for Adaptive Tracking Control of a Nonholonomic Mobile RobotPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2007
- Sliding-Mode Tracking Control of Nonholonomic Wheeled Mobile Robots in Polar CoordinatesIEEE Transactions on Control Systems Technology, 2004
- A stable tracking control method for an autonomous mobile robotPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Adaptive tracking control of a nonholonomic mobile robotIEEE Transactions on Robotics and Automation, 2000
- Tracking Control of Mobile Robots: A Case Study in BacksteppingAutomatica, 1997