Single ended resonant power supply for induction heating

Leisten, J. M.; Lefedjiev, Adrian; Hobson, L.

doi:10.1049/el:19900532

Cited by 16 publications

(7 citation statements)

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“…Firstly, single-switch class-e inverters [9] have been studied and proposed as a cost-effective implementation which only requires one power device per inductor [10,11]. However, when implementing multi-coil systems, this approach suffers from severe control limitations due to intermodulation acoustic noise and restrictions in maximum power and soft-switching operation.…”

Section: Cooking Surfacesmentioning

confidence: 99%

High-Performance and Cost-Effective ZCS Matrix Resonant Inverter for Total Active Surface Induction Heating Appliances

Sarnago

Burdío

Lucía

2019

IEEE Trans. Power Electron.

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Flexible cooking surfaces represent the most innovative and high-performance induction heating appliances nowadays. This paper presents a multiple-output resonant inverter for multi-coil systems featuring high efficiency and flexible output power control for modern induction heating appliances. By adopting a matrix structure, the number of controlled devices can be significantly reduced while a high control versatility is ensured. The proposed converter is firstly analyzed and, in order to prove the feasibility of the proposal, a multiple-output prototype is designed and implemented. The experimental results prove the correct converter operation and output power control with multiple induction heating loads, validating the proposed approach.

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Section: Cooking Surfacesmentioning

confidence: 99%

High-Performance and Cost-Effective ZCS Matrix Resonant Inverter for Total Active Surface Induction Heating Appliances

Sarnago

Burdío

Lucía

2019

IEEE Trans. Power Electron.

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“…In order to address the multi-load power transmission challenge, multi-output topologies, derived from the full bridge [6][7][8][9], half bridge [10][11][12] and single switch [13], have been developed. These topologies balance complexity, versatility and efficiency depending on the characteristics of the application, e.g.…”

Section: Introductionmentioning

confidence: 99%

GaN-Based Matrix Resonant Power Converter for Domestic Induction Heating

Guillén

Sarnago

Lucía

et al. 2023

IEEE Trans. Power Electron.

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Flexible-surface induction cooktops must operate with a variety of induction heating loads with different behavior and power setpoints to be heated simultaneously. In this context, multi-output inverter topologies aim at achieving independent power management while featuring low power-device count and high power density. However, they suffer from limitations when applying classical modulation strategies to ensure soft switching, which is required to reduce transistor losses and achieve efficient operation. In this scenario, wide band-gap devices reduce switching losses, opening a new paradigm in power conversion where soft switching is not mandatory in order to achieve high efficiency. This paper proposes an implementation of a multioutput resonant inverter based on GaN HEMTs and evaluates various modulation strategies in terms of efficiency under different switching modes. The proposed approach is designed and experimentally validated by means of a 2-coil 2000 W prototype implementation.

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“…In order to power these structures, several alternatives of resonant power converters have been proposed in the literature. The alternatives include classical single-inverter single-coil implementations [4,5], load multiplexation approaches [6], and a heterogeneous group of multi-output inverters [7][8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Deep Learning Implementation of Model Predictive Control for Multioutput Resonant Converters

et al. 2022

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Flexible-surface induction cooktops rely on multi-coil structures which are powered by means of advanced resonant power converters that achieve high versatility while maintaining high efficiency and power density. The study of multi-output converters has led to cost-effective and reliable implementations even if they present complex control challenges to provide high performance. For this scenario, model predictive control arises as a modern control technique that is capable of handling multivariable problems while dealing with nonlinearities and constraints. However, these controllers are based on the computationally-demanding solution of an optimization problem, which is a challenge for high-frequency real-time implementations. In this context, deep learning presents a potent solution to approximate the optimal control policy while achieving a time-efficient evaluation, which permits an online implementation. This paper proposes and evaluates a multi-output-resonant-inverter model predictive controller and its implementation on an embedded system by means of a deep neural network. The proposal is experimentally validated by a resonant converter applied to domestic induction heating featuring a twocoil 3.6 kW architecture controlled by means of a FPGA.

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Single ended resonant power supply for induction heating

Cited by 16 publications

References 0 publications

High-Performance and Cost-Effective ZCS Matrix Resonant Inverter for Total Active Surface Induction Heating Appliances

High-Performance and Cost-Effective ZCS Matrix Resonant Inverter for Total Active Surface Induction Heating Appliances

GaN-Based Matrix Resonant Power Converter for Domestic Induction Heating

Deep Learning Implementation of Model Predictive Control for Multioutput Resonant Converters

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