Computational Intelligence in Control of AGV Multimodal Systems

Grzegorz Kłosowski, Arkadiusz Gola, Amila Thibbotuwawa

Research output: Contribution to journalConference article in JournalResearchpeer-review

31 Citations (Scopus)
170 Downloads (Pure)

Abstract

The paper offers a new model for in-plant transportation control with the AGV. The controlling part is performed with the use of software constituting a hybrid information system employing fuzzy logic and genetic algorithms. Introducing the division of workspace into zones and switching stations resolved the problem of multimodality in transportation and potential collisions between AGVs. The concept model was verified by means of the developed simulation model of the production system with the transportation control system. The conducted simulation experiments confirmed high efficiency of the proposed solution.

Original languageEnglish
Book seriesIFAC-PapersOnLine
Volume51
Issue number11
Pages (from-to)1421-1427
Number of pages7
ISSN2405-8963
DOIs
Publication statusPublished - Aug 2018
Event16th IFAC Symposium on Information Control Problems in Manufacturing INCOM 2018 - Bergamo, Italy
Duration: 11 Jun 201813 Jun 2018

Conference

Conference16th IFAC Symposium on Information Control Problems in Manufacturing INCOM 2018
Country/TerritoryItaly
CityBergamo
Period11/06/201813/06/2018

Keywords

  • modelling
  • simulation
  • artificial intelligence
  • transportation control
  • transportation logistics
  • Automated guided vehicles (AGVs)
  • Automated Guided Vehicles

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