Autonomous Path Planning by Unmanned Aerial Vehicle (UAV) for Precise Monitoring of Large-Scale PV plants

Amir Mohammad Moradi Sizkouhi; Sayyed Majid Esmailifar; Mohammadreza Aghaei; Aline Kirsten Vidal De Oliveira; Ricardo Ruther

doi:10.1109/PVSC40753.2019.8980862

Autonomous Path Planning by Unmanned Aerial Vehicle (UAV) for Precise Monitoring of Large-Scale PV plants

Amir Mohammad Moradi Sizkouhi
, Sayyed Majid Esmailifar
, Mohammadreza Aghaei
, Aline Kirsten Vidal De Oliveira
, Ricardo Ruther

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

23 Citations (Scopus)

Abstract

In this paper, an innovative approach is represented in order to optimize the path planning during UAV flight in the monitoring of PV power plants. For this purpose, two algorithms are developed as static path planning and dynamic path planning. In static path planning, an optimum initial path is generated with image processing techniques. Subsequently, the waypoints are transmitted to UAV through the Radio Frequency (RF) channels for further actions. Dynamic path planning checks UAV's abilities after any specific maneuver. If UAV cannot complete the initial path, dynamic path planning enters in the loop to create a new optimum path according to UAV's position and endurance.

Original language	English
Title of host publication	2019 IEEE 46th Photovoltaic Specialists Conference, PVSC 2019
Publisher	Institute of Electrical and Electronics Engineers
Pages	1398-1402
Number of pages	5
ISBN (Electronic)	9781728104942
DOIs	https://doi.org/10.1109/PVSC40753.2019.8980862
Publication status	Published - Jun 2019
Externally published	Yes
Event	46th IEEE Photovoltaic Specialists Conference, PVSC 2019 - Chicago, United States Duration: 16 Jun 2019 → 21 Jun 2019

Conference

Conference	46th IEEE Photovoltaic Specialists Conference, PVSC 2019
Country/Territory	United States
City	Chicago
Period	16/06/19 → 21/06/19

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Autonomous Path Planning
Image Processing
Large-Scale Photovoltaic Plants
Smart Monitoring
Unmanned Aerial Vehicle (UAV)

Access to Document

10.1109/PVSC40753.2019.8980862

Cite this

Moradi Sizkouhi, A. M., Majid Esmailifar, S., Aghaei, M., Vidal De Oliveira, A. K., & Ruther, R. (2019). Autonomous Path Planning by Unmanned Aerial Vehicle (UAV) for Precise Monitoring of Large-Scale PV plants. In 2019 IEEE 46th Photovoltaic Specialists Conference, PVSC 2019 (pp. 1398-1402). Article 8980862 Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/PVSC40753.2019.8980862

@inproceedings{839ef121f72947889ccfb6aa09bac618,

title = "Autonomous Path Planning by Unmanned Aerial Vehicle (UAV) for Precise Monitoring of Large-Scale PV plants",

abstract = "In this paper, an innovative approach is represented in order to optimize the path planning during UAV flight in the monitoring of PV power plants. For this purpose, two algorithms are developed as static path planning and dynamic path planning. In static path planning, an optimum initial path is generated with image processing techniques. Subsequently, the waypoints are transmitted to UAV through the Radio Frequency (RF) channels for further actions. Dynamic path planning checks UAV's abilities after any specific maneuver. If UAV cannot complete the initial path, dynamic path planning enters in the loop to create a new optimum path according to UAV's position and endurance.",

keywords = "Autonomous Path Planning, Image Processing, Large-Scale Photovoltaic Plants, Smart Monitoring, Unmanned Aerial Vehicle (UAV)",

author = "\{Moradi Sizkouhi\}, \{Amir Mohammad\} and \{Majid Esmailifar\}, Sayyed and Mohammadreza Aghaei and \{Vidal De Oliveira\}, \{Aline Kirsten\} and Ricardo Ruther",

year = "2019",

month = jun,

doi = "10.1109/PVSC40753.2019.8980862",

language = "English",

pages = "1398--1402",

booktitle = "2019 IEEE 46th Photovoltaic Specialists Conference, PVSC 2019",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

note = "46th IEEE Photovoltaic Specialists Conference, PVSC 2019 ; Conference date: 16-06-2019 Through 21-06-2019",

}

Moradi Sizkouhi, AM, Majid Esmailifar, S, Aghaei, M, Vidal De Oliveira, AK & Ruther, R 2019, Autonomous Path Planning by Unmanned Aerial Vehicle (UAV) for Precise Monitoring of Large-Scale PV plants. in 2019 IEEE 46th Photovoltaic Specialists Conference, PVSC 2019., 8980862, Institute of Electrical and Electronics Engineers, pp. 1398-1402, 46th IEEE Photovoltaic Specialists Conference, PVSC 2019, Chicago, United States, 16/06/19. https://doi.org/10.1109/PVSC40753.2019.8980862

Autonomous Path Planning by Unmanned Aerial Vehicle (UAV) for Precise Monitoring of Large-Scale PV plants. / Moradi Sizkouhi, Amir Mohammad; Majid Esmailifar, Sayyed; Aghaei, Mohammadreza et al.
2019 IEEE 46th Photovoltaic Specialists Conference, PVSC 2019. Institute of Electrical and Electronics Engineers, 2019. p. 1398-1402 8980862.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AU - Moradi Sizkouhi, Amir Mohammad

AU - Majid Esmailifar, Sayyed

AU - Aghaei, Mohammadreza

AU - Vidal De Oliveira, Aline Kirsten

AU - Ruther, Ricardo

PY - 2019/6

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AB - In this paper, an innovative approach is represented in order to optimize the path planning during UAV flight in the monitoring of PV power plants. For this purpose, two algorithms are developed as static path planning and dynamic path planning. In static path planning, an optimum initial path is generated with image processing techniques. Subsequently, the waypoints are transmitted to UAV through the Radio Frequency (RF) channels for further actions. Dynamic path planning checks UAV's abilities after any specific maneuver. If UAV cannot complete the initial path, dynamic path planning enters in the loop to create a new optimum path according to UAV's position and endurance.

KW - Autonomous Path Planning

KW - Image Processing

KW - Large-Scale Photovoltaic Plants

KW - Smart Monitoring

KW - Unmanned Aerial Vehicle (UAV)

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M3 - Conference contribution

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BT - 2019 IEEE 46th Photovoltaic Specialists Conference, PVSC 2019

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ER -

Autonomous Path Planning by Unmanned Aerial Vehicle (UAV) for Precise Monitoring of Large-Scale PV plants

Abstract

Conference

UN SDGs

Keywords

Access to Document

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