A particle swarm optimizer for tuning a software-defined, highly configurable wireless power transfer platform

Abstract

An important challenge in wireless power transfer systems based on resonant coupling is the frequency splitting phenomenon, which results in detuning the resonance frequency of the system and consequently in a reduction in the system power transfer efficiency. In this paper, a software-defined, nearfield wireless power transfer (WPT) platform is proposed where a particle swarm optimizer (PSO) is used to optimize the power transfer effieciency of the system. A prototype platform operating at 13.56 MHz is designed and fabricated and the capability of the PSO to tune the system to the operating point of maximum efficiency is demonstrated by experiments. It is shown that by controlling the matching network of the transmit and receive chain through the PSO algorithm it is possible to reach the optimum solution within a few iterations. The proposed system can find application in adaptively tuned WPT systems.

A misalignment-adaptive wireless power transfer system using PSO-based frequency tracking

“…Particle Swarm Optimization (PSO) algorithm is another technique used in several adaptive WPT systems [20,21]. In [20], a software-defined, near-field WPT system is proposed where a particle swarm optimizer (PSO) is used to optimize the power transfer efficiency of the system.…”

“…Particle Swarm Optimization (PSO) algorithm is another technique used in several adaptive WPT systems [20,21]. In [20], a software-defined, near-field WPT system is proposed where a particle swarm optimizer (PSO) is used to optimize the power transfer efficiency of the system. Matching network of the transmit and receive chain is controlled through the PSO algorithm to compensate for the efficiency reductions due to coupling variations [20].…”

“…In [20], a software-defined, near-field WPT system is proposed where a particle swarm optimizer (PSO) is used to optimize the power transfer efficiency of the system. Matching network of the transmit and receive chain is controlled through the PSO algorithm to compensate for the efficiency reductions due to coupling variations [20]. However, the tuning range of the tunable components in matching circuits is limited and these components increase loss and complexity of the system.…”

“…PSO algorithm's iterations are seems to be offline and does not consider the effect of dynamic variations on the system. In both [20] and [21], WPT systems operate in MHz range with a sinusoidal RF signal source and a power amplifier. MHz range WPT systems are not suitable for high power applications such as electric vehicle (EV) chargers.…”

A Novel Pso-Based Transfer Efficiency Optimization Algorithm for Wireless Power Transfer

“…In the traditional PSO algorithm, the problems of premature convergence or transient stagnation appear due to a large particle swarm scale, which results in redundant calculation or failing to find the optimal value in the global scope [22,23]. In this paper, a novel PSO algorithm is proposed to solve the issue above.…”