碩士 / 雲林科技大學 / 資訊管理系碩士班 / 98 / Unmanned surface vehicles (USV) can change the way for controlling the board. It’s can improve safety and reduce labor costs. Currently, auto-machine, although the mode of operation can be completed accurately and fast, but the lack of learning ability and flexibility, and it’s difficult to adjust into the most appropriate mode of operation automatically according to the environment. The operation may shut down and increase maintenance costs at the unexpected situation. If USV can monitor the environment by the sensors and automatically adjust the sailing path, it can be applied in many domains. In this research, applying an Artificial Neuromolecular system to control the navigation of a self-organizing sailboat, Artificial Neuromolecular system can evolve and learn by velocity that the land-based of sailboat measured, so that the sailboat can be changed to identify appropriate ways of the navigation according to environment. Using computer simulations, the sailboat sails with in different wind direction and obstruction. The sailboat can sail to bypass the obstacles and close to the target by ANM system. This research can be applied in the field of unmanned surface vehicles and control unmanned sailboat to arrive at one’s destination.
| Identifer | oai:union.ndltd.org:TW/098YUNT5396016 |
| Date | January 2010 |
| Creators | Wen-chun Lin, 林雯君 |
| Contributors | Jong-Chen Chen, 陳重臣 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | zh-TW |
| Detected Language | English |
| Type | 學位論文 ; thesis |
| Format | 59 |
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