Intelligent control system of AGV in container terminal

Unmanned operation of container carrying vehicle is the largest problem in container terminal. The required operation of it is to run on the ordered course with ordered speed and stop at the ordered position within a permitted error. For this system adoption of AGV was thought. But conventional control condition is inadequate because the variation of control condition is so large and required accuracy is so severe. The authors tried to apply learning control method for this system and got the prospect of good control performance. This system was decided to realize in 1999 and further study is now continuing.