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Inspection system for electrical transmission lines using an Unmanned Aerial Vehicle (UAV)

Inspection system for electrical transmission lines using an Unmanned Aerial Vehicle (UAV)
使用无人机 (UAV) 的输电线路检查系统
批准号:
396449-2010
负责人:
Lynch, Alan
金额:
$11.77万
依托单位:
依托单位国家:
加拿大
项目类别:
Strategic Projects - Group
财政年份:
2011
资助国家:
加拿大
项目状态:
已结题
起止时间:
2011-01-01 至 2012-12-31

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中文摘要
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英文摘要
Canada's bulk high voltage transmission network spans 160,000 km. Parts of this grid are very inaccessible on rugged terrain. Maintaining reliability of these lines is intricately related to the safety and security of our nation. For example, line inspection failure was a significant determining factor in the 2003 Northeast Blackout which led to tremendous economic and environmental damage. The proposed research aims to improve the safety and security of Canada by developing an Unmanned Aerial Vehicle (UAV) which automates the inspection of electrical transmission lines. A UAV-based solution offers advantages over conventional piloted or ground crew approaches. Labour cost are reduced, safety is improved, inspection data is accurate and diverse, and inspection is possible in harsh environments. These benefits are important given pressure on utilities to maximize use of ageing infrastructure while minimizing cost and meeting high performance expectations. UAV technology developed in this work also benefits the field of unmanned vehicles, a sector with large growth potential for Canada. The supporting organizations are important representatives of power transmission and UAV industries. Interactions with these partners will lead to benefits such as technology transfer and training. The research objectives are divided into two parts and contribute to the application and theory of controls, vision, and robotics. The first part develops basic autonomy for a helicopter UAV to simplify inspection. A system for navigating, landing, taking off, and waypoint tracking is developed to reduce an operator's role in controlling the vehicle's motion. Control theory is used to optimize the algorithms' robustness
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