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author:

Qiu, Ronghua (Qiu, Ronghua.) [1] | Miao, Xiren (Miao, Xiren.) [2] (Scholars:缪希仁) | Zhuang, Shengbin (Zhuang, Shengbin.) [3] | Jiang, Hao (Jiang, Hao.) [4] (Scholars:江灏) | Chen, Jing (Chen, Jing.) [5] (Scholars:陈静)

Indexed by:

CPCI-S

Abstract:

UAVs ( 1 Ininanned Aerial Vehicles) have been widely used in power line inspections, but low autonomous cruise capacity of UAVs requires strict condition for operators and site while landing during IJAV power line inspections. This paper presents an autonomous landing control technique for UAVs when charging at the electric towers based on vision positioning method. The proposed system consists of three modules: visual processing, positioning estimation and landing control. The desired position and direction can be obtained by ellipse fitting and Shi-Tomasi corner detection method after the landing pad was identified by affine constant moment and Support Vector Machine (SVM) in visual processing module. Extended Kalman Filter (EKF) is used for the fusion of inertial measurement with the position data estimated by camera imaging principle in positioning estimation module. A control strategy is designed to enable the ITAV to land safely and reliably. The experimental results show that the position error of the landing is within 20cm, and the direction error is within 20 degrees, which basically meets the demand for autonomous landing.

Keyword:

affine constant moment autonomous landing Extended Kalman Filter power line inspections

Community:

  • [ 1 ] [Qiu, Ronghua]Fuzhou Univ, Coll Elect Engn & Automat, Fuzhou, Fujian, Peoples R China
  • [ 2 ] [Miao, Xiren]Fuzhou Univ, Coll Elect Engn & Automat, Fuzhou, Fujian, Peoples R China
  • [ 3 ] [Zhuang, Shengbin]Fuzhou Univ, Coll Elect Engn & Automat, Fuzhou, Fujian, Peoples R China
  • [ 4 ] [Jiang, Hao]Fuzhou Univ, Coll Elect Engn & Automat, Fuzhou, Fujian, Peoples R China
  • [ 5 ] [Chen, Jing]Fuzhou Univ, Coll Elect Engn & Automat, Fuzhou, Fujian, Peoples R China

Reprint 's Address:

  • 江灏

    [Jiang, Hao]Fuzhou Univ, Coll Elect Engn & Automat, Fuzhou, Fujian, Peoples R China

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Source :

2017 CHINESE AUTOMATION CONGRESS (CAC)

Year: 2017

Page: 7427-7431

Language: English

Cited Count:

WoS CC Cited Count: 3

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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