Field programmable gate array implementation of variable common mode injection PWM for three-level inverters

Nageswari, S.; Kumar, Vinay

doi:10.1016/j.compeleceng.2013.07.014

Cited by 10 publications

(5 citation statements)

References 21 publications

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“…This is because Space-Vector PWM provides the benefits of upgraded quality of power at a similar switching frequency and more noteworthy use of bus voltage [9][10][11][12][13][14][15]. Regardless, the issue with space-vector balance is the requirement of complicated and monotonous online estimation by a Digital Signal Processor (DSP) that for the most part limits its action up to a couple of kHz of switching frequency [16][17][18][19][20]. Implementing ANN in SVM shall drastically reduce this problem.…”

Section: Introductionmentioning

confidence: 99%

A 3-layered feedforward back-propagation ANN-based SVPWM control for neutral point clamped converter for PV grid integration

Singh¹,

Husain²,

Minai

et al. 2023

Eng. Res. Express

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Most of the power electronic converters based on the devices such as Silicon Controlled Rectifiers (SCRs) have been broadly utilized in home, business, and modern use in recent years. Despite their many benefits, these power electronic converters have major issues such as pulling harmonic current and the reactive part of the current from the supply, as well as having a highly nonlinear characteristic. The harmonics produced by the current supplied by these nonlinear elements cause voltage distortion at the common coupling point, which is causing problems for the functioning of number of sensitive instruments and other consumer appliances. Artificial Neural Networks (ANN) are a type of Artificial Intelligence (AI) approach that has been applied to improve the efficiency and regulation of the converter. In order to avoid the need for a Digital Signal Processors (DSP) by avoiding the online timing computations for various voltage space vectors in various regions and sectors and produce higher pulse resolution, an ANN-based space vector pulse width modulation (SVPWM) technique is proposed in this paper. The analysis of a 3-layered feedforward back propagation ANN algorithm based SVPWM control for NPC converter used to integrate PV source to grid has been evaluated and found to be better as compared to traditional techniques.

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Section: Introductionmentioning

confidence: 99%

A 3-layered feedforward back-propagation ANN-based SVPWM control for neutral point clamped converter for PV grid integration

Singh¹,

Husain²,

Minai

et al. 2023

Eng. Res. Express

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“…A shifted SVPWM method to improve the operation of dc-link resonant inverters is partially implemented in a DSP and a FPGA device in [16]. In [14] a variable common mode rejection pulse width modulation algorithm for a neutral point clamped inverter is implemented in an FPGA. Such implementation is not described, only the illustration of the main RTL schematic diagram is provided, making it difficult in that way to reproduce the reported results.…”

Section: Introductionmentioning

confidence: 99%

FPGA-based startup for AC electric drives: Application to a greenhouse ventilation system

Rivera

Raygoza

Cisneros

et al. 2015

Computers in Industry

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“…The PWM signals are created by comparing a sinusoidal reference signal (desired waveform) with a triangular carrier of frequency, fc that establishes a switching frequency. With PWM method, the VSI is able to achieve a sinusoidal output waveform [22]. where the is the DC-link voltage.…”

Section: Development Of the Sinusoidal Pulse Width Modulation Tecmentioning

confidence: 99%

Performance Evaluation of Two-Level Photovoltaic Voltage Source Inverter Considering SPWM and SVM Switching Controller

Mutlag¹

2017

IJERA

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The switching control schemesincluding sinusoidal pulsewidth modulation (SPWM) and space vector modulation (SVM) are very important for the efficiency and accuracyof the voltage source inverter (VSI). Therefore, this paper presents a performance evaluation of a two-level VSI for the photovoltaic (PV) system based on adopted switching controllers namely, SPWM and SVM switching methods. The evaluation procedure and accuracy are demonstrated and investigated using simulations conducted for a 1.5 kW inverter in a MATLAB/Simulink environment. Two types of loads are utilized to assess the performance of the VSI which are resistive (R) load and resistive and inductive (RL) load. Total harmonic distortion (THD) is used for the comparison of the SPWM and the SVM. Results show that the SVM performs better compared with the SPWM in terms of THD rate. The THDs for SVM based system are found to be 0.02% and 0.08% for the R and RL, respectively; whereas the THDsfor SPWM controller are found to be 0.43% and 0.51% for the R and RL, respectively. Furthermore, mean square error (MSE) is also consideredas a statistical indicator. The MSE indicates that the SVM switching controller technique have superior outcomes compared with the SPWM switching controller technique and thus increases the efficiency of the whole system.

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Field programmable gate array implementation of variable common mode injection PWM for three-level inverters

Cited by 10 publications

References 21 publications

A 3-layered feedforward back-propagation ANN-based SVPWM control for neutral point clamped converter for PV grid integration

A 3-layered feedforward back-propagation ANN-based SVPWM control for neutral point clamped converter for PV grid integration

FPGA-based startup for AC electric drives: Application to a greenhouse ventilation system

Performance Evaluation of Two-Level Photovoltaic Voltage Source Inverter Considering SPWM and SVM Switching Controller

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