2018
DOI: 10.3390/asi1040044
|View full text |Cite
|
Sign up to set email alerts
|

Development of Intelligent Drone Battery Charging System Based on Wireless Power Transmission Using Hill Climbing Algorithm

Abstract: In this work, an advanced drone battery charging system is developed. The system is composed of a drone charging station with multiple power transmitters and a receiver to charge the battery of a drone. A resonance inductive coupling-based wireless power transmission technique is used. With limits of wireless power transmission in inductive coupling, it is necessary that the coupling between a transmitter and receiver be strong for efficient power transmission; however, for a drone, it is normally hard to land… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
17
0

Year Published

2019
2019
2023
2023

Publication Types

Select...
6
2

Relationship

0
8

Authors

Journals

citations
Cited by 35 publications
(18 citation statements)
references
References 30 publications
0
17
0
Order By: Relevance
“…Another critical aspect is the misalignment of the WPT coils due to an imprecise landing of the drone that can lead to a reduction of the coupling factor between coils, and therefore of the electrical performance. These two aspects have been investigated in the recent past, and several solutions have been presented [14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29]. All the proposed solutions were mainly derived by previous WPT applications in other fields such as automotive or consumer electronics, and the main focus was on adapting these techniques to drones.…”
Section: Introductionmentioning
confidence: 99%
“…Another critical aspect is the misalignment of the WPT coils due to an imprecise landing of the drone that can lead to a reduction of the coupling factor between coils, and therefore of the electrical performance. These two aspects have been investigated in the recent past, and several solutions have been presented [14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29]. All the proposed solutions were mainly derived by previous WPT applications in other fields such as automotive or consumer electronics, and the main focus was on adapting these techniques to drones.…”
Section: Introductionmentioning
confidence: 99%
“…If the Q increases, the current gain also increases. On the other hand, the Q decreases, the current gain also decreases [9,10]. =…”
Section: Structure Of Series-series Wireless Power Transfer (Ss-wpt) System and Analysismentioning
confidence: 98%
“…If the Q increases, the current gain also increases. On the other hand, the Q decreases, the current gain also decreases [9,10]. From the voltage gain and the current gain, the power gain can be obtained by Equation (13).…”
Section: Structure Of Series-series Wireless Power Transfer (Ss-wpt) System and Analysismentioning
confidence: 99%
“…The use of a conventional SP compensation network is proved to be efficient than SS in terms of the reduced number of coils turns, with the output being unchanged. A much sophisticated and robust power transfer approach proposed by Wei Han et al [42] demonstrated 3D transmitting coils [43] Output = 36 W V = 12 V, I = 3 A, Range = 0 -10 cm η = 28 -63%, f = 130 kHz TX RX [15] Output = 24 W V = 24 V, I = 1 A, Range = 0 -10 cm η = at 0 cm 85.25%, at 1 cm 64.16% f = 12 kHz This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication.…”
Section: Research On Wpt For Dronesmentioning
confidence: 99%
“…The intricate 3D design ensures maximum coupling with the receiver coil and covers a much larger part of the receiving area. Ali Rohan et al [43] proposed a multi-transmitter coil with a single receiver unit approach. This ensures that the misalignment of the receiver system would still have functional mutual coupling, thus achieving 85% transmission efficiency for 50 W of power transfer.…”
Section: Research On Wpt For Dronesmentioning
confidence: 99%