Apply Grey-Fuzzy-Fuzzy Controller to Vision Guided Control of Unmanned Automatic Vehicles
نویسنده
چکیده
The unmanned automatic vehicles are important elements in industrial application, such as unmanned carriers in warehouse. The mechanical vision replaces the human’s eyes to be the feedback component. By the image processing, the necessary information can be figured out. However, due to the complicate calculation of image process, it will take a long calculation time from fetching image to making image information. Hence, a novel control rule that is the Grey-Fuzzy-Fuzzy controller is proposed in this paper for vision guided control of unmanned automatic vehicles. The experimental results show the proposed controller will eliminate the swinging phenomenon and increase the accuracy while tracking. The experimental results also show the practical capability of the Grey-Fuzzy-Fuzzy controller.
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تاریخ انتشار 2009