Research And Application Of Automated Guided Vehicle Control System

Automated Guided Vehicle (AGV) which belongs to the mobile robots is an intelligenthandling equipment which without driver. The study on AGV originated from America in the1950s. From then on, it has been researched deeply and used widely. Now, they have becomethe necessary tools for the automation transportations, loads and unloads have been greatlyenlarged and improved.Nowadays, AGV can be classified into different types. Among them, the magneticinductive guiding method is mainly used for most of commercial AGV. But its disadvantagesare obvious. For instance, the cost of the navigation path setup for long distance is so high;the path maintenance and modification are difficult and it cannot work at the place wherethere is serious electromagnetic disturbance.In this paper, the research of digital image processing mainly concluded the imagepreprocessing and image feature recognition. Image feature recognition concluded therecognition of path and signs. The main task of path recognition was the guided parameterextract by the least square method. In addition, LED digital characters and special charactersare two methods to recognize the signs. By the experiments of comparing their merit andshortcoming we can prove that the latter was more accurate and reliable than the former. Sowe chose special characters.This paper analyzed the characteristic movement and then established the kinematicmodel. The matlab simulation shows the reliability of the model. Finally, on the basis ofprevious work, the optimal-fuzzy controller had been designed. By the simulation ofcomparing with the method and other methods, we can draw a conclusion that optimal-fuzzycontrol can more real-time and accurately follow the input signal.