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

Wang, Meng; Feng, Jing; Shi, Yanyan; Shen, Minghui; Jing, Jianwei

doi:10.2528/pierc18042001

Cited by 8 publications

(6 citation statements)

References 20 publications

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“…A class-F amplifier at 1.8 GHz has been designed and modeled in [37], where the radial basis function (RBF) type of neural network has been utilized to model the amplifier circuit. A PSO algorithm is used in [41] to improve the efficiency and frequency of the WPT system. A back propagation neural network and a Simulink MATLAB model are used in [42] to emulate the distance, gape, and noise effects on a WPT system, which can estimate the voltage of the receiver coil as a function of time.…”

Section: Power Supplymentioning

confidence: 99%

A New Design Method for Class-E Power Amplifiers Using Artificial Intelligence Modeling for Wireless Power Transfer Applications

et al. 2022

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This paper presents a new approach to simplify the design of class-E power amplifier (PA) using hybrid artificial neural-optimization network modeling. The class-E PA is designed for wireless power transfer (WPT) applications to be used in biomedical or internet of things (IoT) devices. Artificial neural network (ANN) models are combined with optimization algorithms to support the design of the class-E PA. In several amplifier circuits, the closed form equations cannot be extracted. Hence, the complicated numerical calculations are needed to find the circuit elements values and then to design the amplifier. Therefore, for the first time, ANN modeling is proposed in this paper to predict the values of the circuit elements without using the complex equations. In comparison with the other similar models, high accuracy has been obtained for the proposed model with mean absolute errors (MAEs) of 0.0110 and 0.0099, for train and test results. Moreover, root mean square errors (RMSEs) of 0.0163 and 0.0124 have been achieved for train and test results for the proposed model. Moreover, the best and the worst-case related errors of 0.001 and 0.168 have been obtained, respectively, for the both design examples at different frequencies, which shows high accuracy of the proposed ANN design method. Finally, a design of class-E PA is presented using the circuit elements values that, first, extracted by the analyses, and second, predicted by ANN. The calculated drain efficiencies for the designed class-E amplifiers have been obtained equal to 95.5% and 91.2% by using analyses data and predicted data by proposed ANN, respectively. The comparison between the real and predicted values shows a good agreement.

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Section: Power Supplymentioning

confidence: 99%

A New Design Method for Class-E Power Amplifiers Using Artificial Intelligence Modeling for Wireless Power Transfer Applications

et al. 2022

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“…Premature convergence is the most frequent happening in DE. In [45], the authors proposed the use of a novel Particle Swarm Optimization (PSO) to address the problem of low transfer efficiency in a magneticallycoupled resonant wireless power transfer (MCR-WPT) system. The analytical calculation, numerical simulation, and experiments were also conducted in this paper.…”

Section: Comparative Analysis Of Existing Workmentioning

confidence: 99%

A review on wireless power transfer: Concepts, implementations, challenges, and mitigation scheme

Sidiku¹,

Eronu²,

Ashigwuike³

2021

Nig. J. Tech.

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This paper reviews the current strides in the wireless power transfer (WPT) system. The paper discusses the classification of wireless power transfer, its application, trend and impact on society, advantages as well as disadvantages. It also presents a comparative analysis of existing work done by researchers in the field of wireless power transfer showing the shortcomings in various topologies, communication, and optimization methods used to increase the overall performance efficiency and proffer direction for further studies. Keywords: wireless power transfer, application, advantages, disadvantages topologies, communication, optimization, efficiency

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“…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.…”

Section: Introductionmentioning

confidence: 99%

“…However, the tuning range of the tunable components in matching circuits is limited and these components increase loss and complexity of the system. In [21], PSO algorithm is utilized in a frequency tracking controller to improve the power transfer efficiency of the WPT system. PSO algorithm's iterations are seems to be offline and does not consider the effect of dynamic variations on the system.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

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

Kiliç

Sezen

Sis

2020

Int. J. Optim. Control, Theor. Appl. (IJOCTA)

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One of the major challenges in inductive wireless power transfer (WPT) systems is that the optimal frequency of operation may shift predominantly due to coupling variation as a result of so-called frequency splitting phenomenon. When frequency splitting occurs, two additional resonance frequencies split from the coupler’s resonance frequency. Maximum power levels are observed at these split resonance frequencies; however, these frequencies are strongly-dependent on the coupling coefficient, hence the distance and alignment between the couplers. In addition to that, peak power values at these frequencies can be different from each other due to small impedance differences between the primary and secondary side resonant couplers, forming a local and a global maximum. Therefore, the WPT system should adaptively operate at the correct frequency for achieving maximum power transfer. In this paper, a metaheuristic Particle Swarm Optimization (PSO) based frequency tracking algorithm is proposed for use in WPT systems. The WPT system employs multi sub-coil flux pipe couplers, a full-bridge inverter which is driven by TMS320F28069 controller card and is suitable for high power charging applications. The control algorithm can accurately find the global maximum power point in case of frequency splitting with asymmetric peaks. The proposed frequency tracking algorithm operates only at the primary side based on measurement of the input power level. Therefore, no additional communication link is needed between the primary and the secondary side. Effectiveness of the proposed control method is validated by performing experiments under three different misalignment scenarios and compared to the traditional Perturb and Observe algorithm.

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

Cited by 8 publications

References 20 publications

A New Design Method for Class-E Power Amplifiers Using Artificial Intelligence Modeling for Wireless Power Transfer Applications

A New Design Method for Class-E Power Amplifiers Using Artificial Intelligence Modeling for Wireless Power Transfer Applications

A review on wireless power transfer: Concepts, implementations, challenges, and mitigation scheme

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

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