Optimization of Efficiency and Receiver-Coil Mass in an Autonomous 700-W S-S IPT System for UAV Applications

被引:2
|
作者
Abdelraziq, Muhammad [1 ]
Paul, Stephen [1 ]
Bartels, Franklin [1 ]
Pantic, Zeljko [1 ]
机构
[1] North Carolina State Univ, Elect & Comp Engn Dept, Raleigh, NC 27695 USA
关键词
WPT; IPT; UAV; Bayesian Optimization; lightweight pickup coil; series-series compensation; multi-objective optimization; coil alignment; CHARGING TECHNIQUES; WIRELESS;
D O I
10.1109/APEC43580.2023.10131668
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Wireless Power Transfer (WPT) is an attractive solution to sustain complete autonomy in drone charging. This paper proposes a Series-Series (S-S) compensated IPT system with a primary that maintains a constant transmitter coil current by means of phase-shift modulation. A dual-objective design optimization problem was defined considering the receiver coil mass and the DC-DC efficiency of the IPT system. Using Bayesian Optimization, the algorithm converged to a 91%-efficient IPT system with a 138-g receiver coil. The optimized design was prototyped and tested while charging 7-Ah and 14-Ah drone batteries in CC and CV modes. The measured peak DC-DC efficiency is 91.6% at 600 W, validating the design and optimization procedure. Further, A 2-D motorized coil alignment mechanism that uses a search algorithm is experimentally validated to overcome lateral misalignment caused by the inaccurate landing of drones and ensure autonomy.
引用
收藏
页码:803 / 810
页数:8
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