Fuzzy Logic Based Selective Harmonic Elimination for Single Phase Inverters

Duranay, Zeynep Bala; Güldemir, Hanifi

doi:10.25046/aj030322

Cited by 5 publications

(6 citation statements)

References 15 publications

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“…Finally, the switching angle values calculated by the NN, fuzzy logic (Duranay and Guldemir, 2018) and Newton-Raphson for m = 0.9 and N = 11 are given in Table 1. According to this table, the NN gives the closest results to the angle values calculated by Newton-Raphson's numerical solution method, if the NN and fuzzy logic approximation of the appropriate switching angle is compared.…”

Section: Harmonic Eliminationmentioning

confidence: 99%

“…That is why NN is used in this study. Newton-Raphson, fuzzy logic (Duranay and Guldemir, 2018) and NN methods for SHE are used and the results are obtained and presented in Figure 16 for comparison purposes. It has been found that NN produce better results than Newton-Raphson and fuzzy logic in terms of THD.…”

Section: Harmonic Eliminationmentioning

confidence: 99%

“…Using conventional methods for harmonic elimination will not be efficient because of difficulty of numerical solution techniques. Hence, various intelligent systems are used for blocking the harmonics from the power system (Duranay and Guldemir, 2018; Memon et al , 2021; Ambekar and Chaudhari, 2012; Filho et al , 2011; Yang et al , 2016; Zhang and Wei, 2019; Jiang et al , 2021).…”

Section: Introductionmentioning

confidence: 99%

“…In this study, a neural network (NN) based harmonic elimination is proposed to set magnitude of fundamental component and suppress selected harmonics in single-phase inverter. Switching angles obtained by the NN are also compared by the switching angles determined using Newton-Raphson method and fuzzy logic (Duranay and Guldemir, 2018). It has been found that the NN method produced the better results in terms of total harmonic distortion (THD).…”

Section: Introductionmentioning

confidence: 99%

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Neural network based harmonic elimination in single-phase inverters

Duranay

2022

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Purpose This study aims to present the experimental results for neural network (NN) based harmonic elimination technique for single-phase inverters. Design/methodology/approach Switching angles applied to power switches are determined using the NN technique based on the harmonics to be suppressed. Thus, besides controlling the output voltage, NN controller provides elimination of predetermined harmonics from output signal of single-phase inverter. Simulation and experimental results for the elimination of 15 and 20 low-order harmonics are presented. The switching angle values calculated by a NN , fuzzy logic and Newton–Raphson are compared for elimination of first 10 harmonics. Findings This paper provides the harmonic spectra showing that first 15 and 20 harmonics are suppressed from output signal. The NN is proved to give closest results to angle values calculated by Newton–Raphson’s numerical solution method. Originality/value The value of this paper is to verify the simulation results with the experimental result for the elimination of 15 and 20 low-order harmonics. Both the simulation and the experimental results demonstrate the success of the NN based selected harmonic elimination.

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Section: Harmonic Eliminationmentioning

confidence: 99%

Section: Harmonic Eliminationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Neural network based harmonic elimination in single-phase inverters

Duranay

2022

COMPEL

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“…Use of a single-phase fullbridge inverter as an active filter. The use of Fuzzy control has been recommended to minimize harmonics in single-phase inverters [11]. In a conventional PWM inverter, a gate signal for the switching element in the first leg will be generated compared to a sinusoidal modulation signal via a triangle carrier wave.…”

Section: Inverter and Control Equivalent Modelsmentioning

confidence: 99%

Modelling and Simulation of Reduce Harmonic Distortion in Non-linear Loads

Junaidi¹,

Rahmaniar²,

Salman³

et al. 2020

Adv. sci. technol. eng. syst. j.

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Harmonic distortion is a problem that can be caused by the use of power electronic devices. The effect of harmonics has an impact on changes in the input voltage source waveform which is referred to as wave defects. This incident has an impact on electronic faults and overheating of the power transformer coil as a supplier. One cause of the emergence of harmonics is the use of non-linear loads on the electric power system. Utilization of nonlinear loads such as arc fires (metal casting), welding, magnetic core in transformers and rotating machines, synchronous machines, adjustable speed drives, solid-state switches High voltage DC transmission and Photovoltaic invertors can produce input wave defects. The filter is modelled through a reference current which is used as a PWM pulse generator reference signal to trigger the inverter, further generating a filter current that is injected into the system. Inverter control uses the Propositional Integrator (PI) control approach. From the simulation test results using the Psim software, it is shown that the recorded input waves due to harmonic distortion can be corrected by placing an active filter into the power system.

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