شنبه 1 اردیبهشت 1403
| عنوان مقاله | |
| عنوان مقاله |
Improved ant colony algorithm for adaptive frequency-tracking control in WPT system |
| عنوان فارسی مقاله | الگوریتم کلونی مورچه ها بهبود یافته برای کنترل ردیابی فرکانس سازگار در سیستم WPT |
| مشخصات مقاله انگلیسی | |
| نشریه: Ieee |
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| سال انتشار |
2018 |
| عنوان مجله |
IET Microwaves Antennas & Propagation |
| تعداد صفحات مقاله انگلیسی | 6 |
| رفرنس | دارد |
| تعداد رفرنس | 14 |
| چکیده مقاله | |
| چکیده |
When the distance between resonators is low enough for the coupling condition to be greater than the critical coupling, the single resonant peak at the load splits to form double peaks. This frequency-splitting phenomenon results in a reduction in the power transferred. In this study, an adaptive frequency-tracking control (AFTC) approach based on a closedloop control scheme is implemented to overcome this problem. An improved ant colony algorithm (IACA) was proposed in AFTC to track the maximum power point in real time. Then, simulations were performed to test the real-time characteristics of IACA. Finally, a wireless power transfer system with AFTC is demonstrated experimentally to validate the IACA results and the tracking of the optimal frequency. |
| کلمات کلیدی |
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| دانلود | |
