Control Program Design for Automated Guided Vehicle Systems via Petri Nets

2015 ◽  
Vol 45 (1) ◽  
pp. 44-55 ◽  
Author(s):  
JiLiang Luo ◽  
HuiJuan Ni ◽  
MengChu Zhou
Keyword(s):  
Petri Nets ◽  
Program Design ◽  
Control Program ◽  
Automated Guided Vehicle ◽  
Vehicle Systems

scholarly journals Controller Design for Avoiding Collisions in Automated Guided Vehicle Systems via Labeled Petri Nets

2018 ◽  
Vol 51 (7) ◽  
pp. 139-144 ◽  
Author(s):  
YaXin Wan ◽  
JiLiang Luo ◽  
Qi Zhang ◽  
WeiMin Wu ◽  
YiSheng Huang ◽  
...  
Keyword(s):  
Petri Nets ◽  
Controller Design ◽  
Automated Guided Vehicle ◽  
Vehicle Systems

scholarly journals SOLVING THE FAILING TRACK MARKER PROBLEM IN AUTOMATED GUIDED VEHICLE SYSTEMS – A CASE STUDY

2020 ◽  
Vol 10 (3) ◽  
pp. 36-43
Author(s):  
Tomasz Lewowski
Keyword(s):  
Data Acquisition ◽  
Automated Guided Vehicle ◽  
Technical Process ◽  
Paper Briefly ◽  
Internal Defects ◽  
Algorithm Development ◽  
Verification Algorithm ◽  
Vehicle Systems ◽  
Self Tuning

This paper is a case study of the development of a localization and positioning subsystem of an Automated Guided Vehicle-based transportation system. The described system uses primarily RFID markers for localization. In some deployments, those markers occasionally fail, mostly due to being crushed by cargo platforms operated by a human or due to internal defects. Those failures are not common enough to warrant switching from marker-based localization to a more sophisticated technique, but they require additional effort from maintenance staff. In this case study, we present our solution to this problem – a self-tuning algorithm that is able to detect marker failures and, in most cases, keep the system operational. The paper briefly discusses business circumstances under which such a solution is reasonable and then describes in detail the entire technical process, including data acquisition, verification, algorithm development and finally, the result of deploying the system in production.

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