Proceedings of the Advances in Materials, Machinery, Electrical Engineering (AMMEE 2017)

Design of Inspection Robot System Based on Photovoltaic Effect

Authors
Yu Wang
Corresponding Author
Yu Wang
Available Online June 2017.
DOI
10.2991/ammee-17.2017.51How to use a DOI?
Keywords
MPPT,Photovoltacpower supply, inspection robot.
Abstract

Patrol robots are more and more widely used for their mobility,flexibility, environmental exploration capabilities, autonomous monitoring and many other powerful functions, and can be seen in production, military and other fields. But most of the current inspection robots' working time by the power supply constraints, shortening the working hours and efficiency. In view of this, a photovoltaic driver based on photovoltaic effect is proposed to provide energy for the robot by PV effect, and MPPT algorithm is adopted to greatly improve the efficiency of solar energy conversion. After the hardware system debugging and laboratory testing, the inspection robot to meet the performance requirements for the future optimization of the design lays the foundation.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the Advances in Materials, Machinery, Electrical Engineering (AMMEE 2017)
Series
Advances in Engineering Research
Publication Date
June 2017
ISBN
10.2991/ammee-17.2017.51
ISSN
2352-5401
DOI
10.2991/ammee-17.2017.51How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Yu Wang
PY  - 2017/06
DA  - 2017/06
TI  - Design of Inspection Robot System Based on Photovoltaic Effect
BT  - Proceedings of the Advances in Materials, Machinery, Electrical Engineering (AMMEE 2017)
PB  - Atlantis Press
SP  - 259
EP  - 262
SN  - 2352-5401
UR  - https://doi.org/10.2991/ammee-17.2017.51
DO  - 10.2991/ammee-17.2017.51
ID  - Wang2017/06
ER  -