Autonomous guided vehicle control using a self-organizing fuzzy controller

Due to the increase in importance of factory-automation (FA) in the field of production, the importance of the autonomous guided vehicle's (AGV) role has also increased. This paper is about an active and effective controller that can flexibly prepare for changeable circumstances. For this study, research into a behaviour-based system evolving by itself is also being considered. In this paper an active and effective AGV fuzzy controller is constructed to carry out self-organization. To construct it, the authors have tuned suboptimally the membership function using a genetic algorithm (GA) and improved the control efficiency by self-correction and the generation of control rules.