Unmanned aerial vehicle for transmission line inspection using an extended Kalman filter with colored electromagnetic interference

被引:31
作者
da Silva, Mathaus Ferreira [1 ]
Honorio, Leonardo M. [1 ]
Marcato, Andre Luis M. [1 ]
Vidal, Vinicius F. [1 ]
Santos, Murillo F. [2 ]
机构
[1] Univ Fed Juiz de Fora, Dept Energy Syst, Jose Lourenco Kelmer St, Juiz de Fora, Brazil
[2] CEFET MG, Dept Electroelect, Jose Peres St 558, Leopoldina, Brazil
关键词
Transmission lines inspection; Extended colored Kalman filter; Unmanned aerial vehicle; Sensor prediction; Electromagnetic interference; UAV;
D O I
10.1016/j.isatra.2019.11.007
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Strong electromagnetic fields such as those generated by power stations and transmission lines cause disturbances that affect the on-board sensors of an autonomous unmanned aerial vehicles (AUAVs) and may lead to aircraft instability. To mitigate this effect, we use an extended Kalman filter with colored noise. In addition to the traditional aircraft dynamics, this approach considers the electromagnetic fields of transmission lines and their position, electrical current, and tower topology. In this way, the filter can predict and correct the interference in the aircraft sensors, thereby guaranteeing flight stability even when the AUAV is very close to the electromagnetic sources. This approach enables the AUAV to operate closer to the transformers and transmission lines, thereby paving the way for better autonomous inspection performed by electrical companies and further development of new technologies. To prove the effectiveness of this approach, theoretical and practical results involving a survey of transmission lines are demonstrated. (C) 2019 ISA. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:322 / 333
页数:12
相关论文
共 55 条
[1]   Optimal AGC tuning with genetic algorithms [J].
AbdelMagid, YL ;
Dawoud, MM .
ELECTRIC POWER SYSTEMS RESEARCH, 1996, 38 (03) :231-238
[2]   Target Tracking in 3-D Using Estimation Based Nonlinear Control Laws for UAVs [J].
Ahmed, Mousumi ;
Subbarao, Kamesh .
AEROSPACE, 2016, 3 (01)
[3]  
Akhbari M, 2013, INT CONF ACOUST SPEE, P1257, DOI 10.1109/ICASSP.2013.6637852
[4]  
[Anonymous], SERVICE DIAGNOSTIC C
[5]  
[Anonymous], MODELING SIMULATION
[6]  
[Anonymous], J FUNDAMENTALS PHYS
[7]  
[Anonymous], DESIGN MULTIRATE DIG
[8]  
[Anonymous], 19 INT UAV SYST C BR
[9]  
[Anonymous], US HIDR BARR GRAND
[10]  
[Anonymous], P INT C MACH LEARN A