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Abstract

For a 2-ton heavy-duty automated guided vehicle (AGV), structure optimization and loadcarrying analysis are investigated in order to improve the dynamics response performance and the energy utilization efficiency of the AGV frame. The mechanical and geometric constraints are firstly defined for the structure optimization of the AGV frame. Secondly, a multi-objective optimization function is formulated for the structure size, and then the optimal solution is solved by means of the genetic algorithm. Thirdly, the design scheme of the AGV frame is refined according to the optimized structure-size parameters. Moreover, the ANSYS software is used to verify the stiffness and strength of the frame. The results show that the mass and the moment of inertia of the frame is reduced by 33.7% and 19.3% respectively, and the frictional forces of AGV wheels decrease by 16.8%. A lightweight mechanical base is provided for motion control of the heavy-duty AGV.