IET Microwaves Antennas & Propagation · 2017 · 23 citations · 9 references
EngineeringComputer EngineeringElectrical EngineeringEnergy ManagementPower ElectronicsWireless CommunicationsAdaptive ControlFrequency ControlFrequency RegulationPower ControlPower System DesignWireless Power TransferAdaptive Frequency ControlAnt Colony OptimizationMaximum Power Point TrackingMaximum Power Point Tracking AlgorithmsOptimal Frequency ControlResonant Energy TransferResonant Power TransferWireless Power Transfer Control
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.
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