Cooperative Robot System for Fault Diagnosis of Solar Panels at Mega Solar Power Plant
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- ENDO Mitsuru
- College of Engineering, Nihon University
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- ENDO Mai
- College of Engineering, Nihon University
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- KAKIZAKI Takao
- College of Engineering, Nihon University
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- NAKAMURA Yasuhiro
- Fukushima Renewable Energy Institute, AIST
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- HEBIISHI Tsukasa
- Fukushima Renewable Energy Institute, AIST
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- OTANI Kenji
- Fukushima Renewable Energy Institute, AIST
Bibliographic Information
- Other Title
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- 大規模太陽光発電施設における複数協調型太陽電池パネル故障診断ロボット
- 大規模太陽光発電施設における複数協調型太陽電池パネル故障診断ロボット : 太陽電池パネル故障診断プローブ位置決め用ワイヤ懸架型マニピュレータの設計
- ダイキボ タイヨウコウ ハツデン シセツ ニ オケル フクスウ キョウチョウガタ タイヨウ デンチ パネル コショウ シンダン ロボット : タイヨウ デンチ パネル コショウ シンダン プローブ イチギメ ヨウ ワイヤ ケンカガタ マニピュレータ ノ セッケイ
- —太陽電池パネル故障診断プローブ位置決め用ワイヤ懸架型マニピュレータの設計—
- —Design of Wire Suspension Manipulator for Positioning of Probe—
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Abstract
After the great East Japan earthquake, explosions at TEPCO Fukushima 1st nuclear power plant and planned power outages change an attitude to power generation. As a result, a lot of large scaled solar power plants termed Mega-solar has been built. To maintain solar panels, inspection of a fault solar panel is important. However, previous methods to find a fault solar panel require removal of panels from the power plant and large manpower. In this study, automatic inspection system for solar panels utilizing multiple robots is proposed. The system consists of cooperative multiple robots, which have a wire-parallel mechanism for positioning an object or a sensor-prove on a surface of a solar panel. For realization of on-site inspection, a cooperative robot system using wire-parallel mechanism is proposed in this paper. Furthermore, based on vector closure and manipulability, a method to optimize a design of a manipulator using the genetic algorithm is described.
Journal
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- Transactions of the Society of Instrument and Control Engineers
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Transactions of the Society of Instrument and Control Engineers 53 (1), 22-30, 2017
The Society of Instrument and Control Engineers
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Details 詳細情報について
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- CRID
- 1390001204508310144
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- NII Article ID
- 130005297376
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- NII Book ID
- AN00072392
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- ISSN
- 18838189
- 04534654
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- NDL BIB ID
- 027857018
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed