Open AccessImproved ant colony algorithm for adaptive frequency‐tracking control in WPT system
Author(s) -
Li Yang,
Zhang Cheng,
Yang Qingxin,
Li Jianxiong,
Zhang Yaxi,
Zhang Xian,
Xue Ming
Publication year - 2018
Publication title -
iet microwaves, antennas and propagation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.555
H-Index - 69
eISSN - 1751-8733
pISSN - 1751-8725
DOI - 10.1049/iet-map.2017.0159
Subject(s) - tracking (education) , control theory (sociology) , coupling (piping) , ant colony optimization algorithms , wireless power transfer , power (physics) , automatic frequency control , reduction (mathematics) , ant colony , tracking error , resonator , algorithm , computer science , engineering , wireless , mathematics , control (management) , physics , artificial intelligence , telecommunications , psychology , pedagogy , mechanical engineering , geometry , electrical engineering , quantum mechanics
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 closed‐loop 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.