电力线巡检无人机的跟踪控制

Kenta Takaya, H. Ohta, K. Shibayama, V. Kroumov
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引用次数: 4

摘要

本文介绍了利用四旋翼直升机进行输电线路跟踪控制和全自主检测的一些研究成果。本文提出的电力线自主检测可以检测雷暴、腐蚀、绝缘子故障引起的电力线缺陷,同时对电力线走廊下的植被进行监测。传统的检查是由配备高分辨率摄像机的直升机进行的,或者由高技能的工作人员爬过断电的电线进行直接目视检查。然而,目视检查既费时又费钱。此外,由于管制方面的限制,直升飞机不能覆盖狭窄的山区。无人驾驶飞行器(UAV)是电力线检测的一个有吸引力的替代方案。本文建立了四旋翼直升机自主检测的数学模型。通过仿真和飞行试验对该模型进行了验证。其次,介绍了四旋翼直升机系统的构成及其在电力线自主检测中的应用。仿真和实验结果验证了该系统的有效性和适用性。本研究成果正在对输电线路的定期检查进行实施。
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Tracking Control of Unmanned Aerial Vehicle for Power Line Inspection
This work presents some results about power transmission line tracking control and a full autonomous inspection using a quadrotor helicopter. The presented in this paper power line autonomous inspection allows detecting power line defects caused by thunderstorms, corrosion, insulator malfunctions, and same time monitoring of vegetation under the power line corridor. Traditional inspection is performed by helicopters equipped with high-resolution cameras or by direct visual examination carried out by highly skilled staff climbing over de-energized power lines. However, the visual inspection is time-expensive and costly. Moreover, due to regulatory constraints, the helicopters cannot cover narrow mountainous areas. Unmanned aerial vehicles (UAV) are an attractive alternative for power line inspection. In this work, a mathematical model for the quadrotor helicopter used in the autonomous inspection is presented. The model is successfully evaluated through simulations and flight experiments. Next, the construction of a quadrotor helicopter system and its application to power line autonomous inspection is introduced. Simulation and experimental results demonstrate the efficiency and applicability of that system. The results of this research are in the process of implementation for regular inspection of electrical transmission lines.
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Rolling Biped Polynomial Motion Planning The Relationship between “C-Space”, “Heuristic Methods”, and “Sampling Based Planner” Tracking Control of Unmanned Aerial Vehicle for Power Line Inspection Recent Developments in Path Planning for Unmanned Aerial Vehicles A Survey on Recent Trends of PIO and Its Variants Applied for Motion Planning of Dynamic Agents
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