Analysis and Experimental Validation of Single Phase Series Resonance Inverter

Maamar, Alla Eddine Toubal; Helaimi, M.; Taleb, Rachid

doi:10.1007/978-981-15-6403-1_14

Cited by 2 publications

(3 citation statements)

References 6 publications

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“…The obtained results with the proposed five-level series resonant inverter are in agreement with the findings of previous studies [29] with conventional Full-Bridge inverter; wherein at the resonance frequency: (1) the switching frequency of the inverter approaches the frequency of the series RLC circuit; (2) the inductive reactance equals the capacitive reactance (X L =X C ); thus, the reactance's impact is canceled; and (3) the RLC circuit becomes resistive circuit and the output capacitor achieves a higher RMS voltage value, and the current becomes maximal.…”

Section: B Experimental Resultssupporting

confidence: 91%

Analysis and Small Signal Modeling of Five-Level Series Resonant Inverter

et al. 2021

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This paper explains the implementation of a small-signal model for a new five-level series resonant inverter structure. The proposed circuit combines the advantages of multilevel inverters and the characteristics of the physical phenomena, resonance. The small-signal model offers the possibility to design a linearized linear time-invariant (LTI) model around an equilibrium point based on first order Taylor series. After that, the performance of the proposed five-level series resonant inverter and its smallsignal model are evaluated in MATLAB/Simulink environment. Compared with a MATLAB model generated using the system identification toolbox, the developed small-signal model exhibited a good accuracy in frequency and time domains. In addition, a hardware test bench is developed to validate the proposed model. Both simulation and experimental results shows that the proposed multilevel resonant inverter is very interesting for high-voltage high-frequency applications. As a perspective, from the results obtained, we suggest the use of small-signal AC analysis for multilevel series resonant inverter modeling. The paper contains rich information of the recently used tools for dynamic systems modeling and analysis of nonlinear processes that can be applied for the modeling and analysis of other power electronics inverters.INDEX TERMS AC analysis of dynamic nonlinear system, five-level series resonant inverter, inverter mathematical model, multilevel inverter simulation, model of inverter, small-signal modeling.

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Section: B Experimental Resultssupporting

confidence: 91%

Analysis and Small Signal Modeling of Five-Level Series Resonant Inverter

et al. 2021

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“…29,30 Also, it is used in several industrial applications including: the induction heating, the wireless power transfer, and the telecommunications. 31…”

Section: Five-level Resonant Invertersmentioning

confidence: 99%

“…Resonant inverter is characterized by high efficiency, high‐power factor mode, and low harmonic currents 29,30 . Also, it is used in several industrial applications including: the induction heating, the wireless power transfer, and the telecommunications 31 . Figure 23 illustrates the three types of resonant inverters: (1) the series, (2) the parallel, and (3) the series parallel.…”

Section: Application Areas Of the Five‐level Inverter With Ann‐shementioning

confidence: 99%

A neural network‐based selective harmonic elimination scheme for five‐level inverter

Maamar

Helaimi

Taleb

et al. 2021

Circuit Theory & Apps

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This paper presents the implementation of selective harmonic elimination (SHE) in a five-level inverter structure using artificial neural networks (ANNs). SHE is an effective low-frequency modulation technique to eliminate selected harmonics and control multilevel converters. The use of ANN-SHE requires the calculation of the optimum values of switching angles via the solving system of nonlinear equations for the total harmonic distortion (THD) reduction, where the nonlinear equations are founded by the complex Fourier series analysis of the inverter output voltage. The procured switching angle values are directly implemented by a multilayer perceptron (MLP) algorithm without a lookup table. The ANN model is obtained by training the neural network (NN), taking the modulation index (M) as an input and approximating switching angles as an output. A thorough analysis was carried out to show the programming steps of the proposed ANN-based SHE using Matlab/ Simulink environment. A realized inverter prototype steered by the proposed ANN-based SHE was tested with various modulation indexes on a real-time mode using a digital signal processor (DSP) C2000 Delfino-TMS320F28379Dembedded board. A comparison between the simulation results and the experimental data is presented. The obtained results illustrate that the experimental results match the simulation closely, and the ANN model provides a fast and precise estimate of the switching angles for each value of the modulation index.

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Analysis and Experimental Validation of Single Phase Series Resonance Inverter

Cited by 2 publications

References 6 publications

Analysis and Small Signal Modeling of Five-Level Series Resonant Inverter

Analysis and Small Signal Modeling of Five-Level Series Resonant Inverter

A neural network‐based selective harmonic elimination scheme for five‐level inverter

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