A Method for Autonomous Navigation and Positioning of UAV Based on Electric Field Array Detection

At present, the method of using unmanned aerial vehicles (UAVs) with traditional navigation equipment for inspection of overhead transmission lines has the limitations of expensive sensors, difficult data processing, and vulnerable to weather and environmental factors, which cannot ensure the safety...

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Published inSensors (Basel, Switzerland) Vol. 21; no. 4; p. 1146
Main Authors Li, Yincheng, Zhang, Wenbin, Li, Peng, Ning, Youhuan, Suo, Chunguang
Format Journal Article
LanguageEnglish
Published Switzerland MDPI AG 06.02.2021
MDPI
Subjects
Autonomous navigation
Control algorithms
Data processing
Drones
Efficiency
Electric fields
Electric power systems
Electricity distribution
Engineering
Field strength
Inspection
Kinematics
Methods
Obstacle avoidance
overhead transmission line
positioning and navigation
power frequency electric field sensor
power line inspection
Sensors
Spatial distribution
Transmission lines
UAVs
Unmanned aerial vehicles
Weather
Wire
power frequency electric field sensor
power line inspection
positioning and navigation
UAVs
overhead transmission line
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Summary:At present, the method of using unmanned aerial vehicles (UAVs) with traditional navigation equipment for inspection of overhead transmission lines has the limitations of expensive sensors, difficult data processing, and vulnerable to weather and environmental factors, which cannot ensure the safety of UAV and power systems. Therefore, this paper establishes a mathematical model of spatial distribution of transmission lines to study the field strength distribution information around transmission lines. Based on this, research the navigation and positioning algorithm. The data collected by the positioning system are input into the mathematical model to complete the identification, positioning, and safety distance diagnosis of the field source. The detected data and processing results can provide reference for UAV obstacle avoidance navigation and safety warning. The experimental results show that the positioning effect of the positioning navigation algorithm is obvious, and the positioning error is within the range of use error and has good usability and application value.
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ISSN:1424-8220
1424-8220
DOI:10.3390/s21041146