Development of a vision navigation system with Fuzzy Control Algorithm for Automated Guided Vehicle

Automated Guided Vehicle (AGV) has the abilities of flexibility, automation and reliability. It has been wildly used in the industry area. The needs of AGV in the medical area are also growing. Up to now, several AGV navigation methods has been proposed. As a modern method, the vision navigation has more benefits such as lower cost, easy installation, electromagnetic anti-interference and so on. In this paper, we will present the improved vision navigation with Fuzzy Control Algorithm. This navigation system combined the vehicle mechanism characters. Combining the navigation deviation parameters obtained from image processing with the motion and control characteristics of the AGV, the Fuzzy Control Algorithm is designed to navigate the AGV moving along the road marking line. In the paper, the detail of the system is introduced. The algorithm is examined with Matlab simulation. Finally, the real experiment with AGV is also performed to examine our proposed system. All the works leads to the meaningful works in the future.