Path Designing of Multi-omnidirectional Wheel Collaborative Sorting Platform

Authors

Li Qi, 1. School of Electronic Information and Artificial Intelligence, Shaanxi University of Science and Technology, Xi'an 710021, China; ;
Wang Wei, 2. School of Electrical and Control Engineering, Shaanxi University of Science and Technology, Xi'an 710021, China;

Abstract

Abstract: Aiming at the problems of low efficiency, high labor cost and low flexibility of traditional logistics sorting system, an automatic logistics sorting system is designed. The improved A* algorithm and the artificial potential field method are used to realize the automatic path planning of the system by taking the transportation path as the research object. The A* algorithm is improved by adjusting the weights of actual cost and estimated cost, and the artificial potential field method is improved by adding virtual sub-target points and adjusting adaptive parameters, so as to complete the function of path planning of goods. Simulation and test results show that the algorithm can optimize the global path angle by 73.33%, shorten the length by 14.72%, and shorten the local path length by 6.17%. The relative coordinate error between the actual export and the target export is within 2.95%, which proves the feasibility of the method.

Recommended Citation

Qi, Li and Wei, Wang (2021) "Path Designing of Multi-omnidirectional Wheel Collaborative Sorting Platform," Journal of System Simulation: Vol. 33: Iss. 3, Article 19.
DOI: 10.16182/j.issn1004731x.joss.20-0322
Available at: https://dc-china-simulation.researchcommons.org/journal/vol33/iss3/19

First Page

698

Revised Date

2020-10-19

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.20-0322

Last Page

709

CLC

TP391

Recommended Citation

Li Qi, Wang Wei. Path Designing of Multi-omnidirectional Wheel Collaborative Sorting Platform[J]. Journal of System Simulation, 2021, 33(3): 698-709.

DOI

10.16182/j.issn1004731x.joss.20-0322