![]() Parasuraman S, Ganapathy V, Shririnzadeh B (2004) Mobile robot navigation in an unstructured and unknown Environment using AI Techniques. Ramirez-Serrano A, Boumedine M (1996) Ultra sonic sensing and fuzzy logic control for navigation in unknown static environment. Sugeno M et al (1989) Fuzzy algorithmic control of a model car by oral instruction. Sugeno M, Nishida M (1985) Fuzzy control of model car. In: IECON 02 [28th Annual Conference of Industrial Electronics Society In: Proceedings of the SPIE mobile robotics VIII, Boston, MAĪlves and Junior (2002) Mobile ultra sonic sensing in mobile robot. Macleod et al (1993) Navigation and control breakthrough for automated mobility. Lin C-H, Wang L-L (1997) Intelligent collision avoidance by fuzzy logic control. Wu KH, Chen CH, Ko JM (1999) Path planning and prototype design of an AGV. Wuwei C, Mills K, Wenwu S (2004) A new navigation method for an automatic guided vehicle. In: Industry Applications Society Annual Meeting, Conference Record of the 1992 IEEE Senoo S, Mino M, Funabiki S (1992) Steering control of automated guided vehicle for steering energy saving by fuzzy reasoning. Jones JL, Flynn AM, Seiger BA (1999) Mobile robot inspiration to implementation, 2nd edn. Gould L (1990) AGVs in America: an inside look. Further researches are required for collision avoidance and selecting the best way in FMS The designed AGV is able to reach the target. The aim of this paper is to propose the practical example of IFLPLC. Online maintenance and sending the commands to other machines from AGV and so on are the advantages that can be used in FMS. Since this AGV uses programmable logic controller and fuzzy logic controllers together, then it will be useful for factories which implement flexible manufacturing system (FMS). By using integrated fuzzy logic controller with programmable logic controller (IFLPLC), the flexibility of AGV will be increased and we achieved great advantages, which can be used in future. For controlling the navigation of the AGV, a newly developed controller integrated fuzzy logic with programmable logic controller will be used. In this paper, designed and made AGV in the Industrial Control Laboratory in Royce Lab at the University of Manchester Institute of Science and Technology will be presented. Nowadays, most of the research aims at increasing the flexibility and improving the performance of the automatic guided vehicle (AGV). Material handling in manufacturing systems is becoming easier as the automated machine technology is improved.
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