Open AccessHEADING CONTROL OF AUTOMATED GUIDED VEHICLES
Author(s) -
Abhishek Bhardwaj,
K Risheek Anand,
Murtaza Khasamwala
Publication year - 2021
Publication title -
international journal of engineering applied science and technology
Language(s) - English
Resource type - Journals
ISSN - 2455-2143
DOI - 10.33564/ijeast.2021.v06i03.028
Subject(s) - automated guided vehicle , automation , robustness (evolution) , pid controller , computer science , control engineering , flexibility (engineering) , fuzzy logic , fuzzy control system , control system , context (archaeology) , robot , engineering , artificial intelligence , temperature control , mechanical engineering , paleontology , biochemistry , chemistry , statistics , mathematics , electrical engineering , biology , gene
With rapid developments in industry wideautomation control systems, there have been numerousproposed design and control strategies as alternatives toconventional methods. This term paper deals with the samein the context of Automated Guided Vehicles (AGV’s) witha review of the current literature for proposed designimprovements as well as trajectory control systems that canimprove productivity and reduce conflicts compared tocurrent methods. The results of these proposed methods arealso compared in contrast to each other to obtain holisticview of the merits and demerits of the same. It is found thata fuzzy logic based PID control is a definite upgrade overconventional PID control systems and that the application ofLIDAR and Camera based technologies can help enable freeroaming AGV’s lending to increased robustness andflexibility. For a control system consisting of a single AGVand multiple processing stations, a genetic algorithmenhanced centralized fuzzy logic control system is the mostoptimal path planning algorithm whereas in the cases ofmultiple robots, a dynamic priority allocated free roamingAGVsystem with semi-decentralized control is found to bemuch more efficient at simultaneously solving paths andreducingconflicts with other robots in real time compared tothe purely centralized systems.