Single-phase half-bridge shunt active power filter employing fuzzy logic control

Hamzah, Mustafar Kamal; Ghafar, Abd; Hussain, Mohd Najib Mohd

doi:10.1109/pesc.2008.4591987

Cited by 9 publications

(3 citation statements)

References 5 publications

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“…Evaluating the final set of papers to determine the utilized inference strategy, we found that the most employed inference strategy used by the inference engine was Mamdani's. Figure 5 shows this aspect, as 41% of the authors of the analyzed articles mention the use of Mamdani's inference strategy [91]. The next most used was Takagi-Sugeno [92], followed by the Mamdani's "Min-Max" method [93] (declared by the authors, as 18 mentioned Mamdani's "Min-Max" method, or simply the "Min-Max" method).…”

Section: Fuzzy Logic Controller's Inference Strategymentioning

confidence: 99%

Fuzzy Control Systems for Power Quality Improvement—A Systematic Review Exploring Their Efficacy and Efficiency

Miron,

Cziker,

Beleiu

2024

Applied Sciences

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Fuzzy-based control systems have demonstrated a remarkable ability to control nonlinear processes, a characteristic commonly observed in power systems, particularly in the context of power quality enhancement. Despite this, an updated and comprehensive literature review on the applications of fuzzy logic in the domain of power quality control has been lacking. To address this gap, this study critically examines published research on the effective and efficient use of fuzzy logic in resolving quality issues within power systems. Data sources included the Web of Science and academic journal databases, followed by an evaluation of target articles based on predefined criteria. The information was then classified into seven categories, including control system type, features of the fuzzy logic controller, fuzzy logic inference strategy, power quality issue, control device, implementation methodology (efficacy testing), and efficiency improvement. Our study revealed that fuzzy-based control systems have evolved from simple type-1 fuzzy controllers to advanced control systems (type-2 fuzzy and hybrid) capable of effectively addressing complex power quality issues. We believe that the insights gained from this study will be useful to both experienced and inexperienced researchers and industry engineers seeking to leverage fuzzy logic to enhance power quality control.

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Section: Fuzzy Logic Controller's Inference Strategymentioning

confidence: 99%

Fuzzy Control Systems for Power Quality Improvement—A Systematic Review Exploring Their Efficacy and Efficiency

Miron,

Cziker,

Beleiu

2024

Applied Sciences

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“…Among the various power filter controllers, one of the most promising is the fuzzy logic controller (Soundarrajan and Sumathi, 2011). A basic fuzzy logic control consists of the following stages: fuzzification, knowledge base, inference mechanisms and defuzzification (Hamzah et al, 2008;Chen, 2011). The knowledge bases were designed in order to obtain a good dynamic response under uncertainty in process parameters and external disturbances.…”

Section: Fuzzy Logic Controllermentioning

confidence: 99%

Control of shunt active power filter using soft computing techniques

Ponnusamy¹,

Yadaiah

2012

Journal of Vibration and Control

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This paper presents two soft computing techniques, fuzzy logic and neural network, to design a new control scheme for switching a shunt active power filter (APF). This control scheme consists of three control loops, namely a voltage loop, current loop and reference generator. The reference current signal generated by this controller is used to generate gating pulses for APF switches. The reference generator is based on neural network or fuzzy logic. The performance of the proposed neural controller is evaluated and compared with a linear control scheme, incorporating a resonant selective linear reference generator. Simulations are carried out using Matlab Simulink and the results show that the proposed system is capable of compensating the harmonic current to a minimum level.

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“…Generally, the largest cost reduction is achieved by reducing the number of switches employed in a converter power circuit or developing topologies that employ switches with lower voltage stresses [15], [16], [17], [18], [19]. In this field, the challenge is to choice between full-bridge and half-bridge topologies.…”

Section: Introductionmentioning

confidence: 99%

Single-phase Active Power Filters With Reduced Number Of Power Switches And Optimum Voltage Control Angle

Santos¹,

Silva²,

Jacobina³

et al. 2013

Eletrônica de Potência

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Single-phase half-bridge shunt active power filter employing fuzzy logic control

Cited by 9 publications

References 5 publications

Fuzzy Control Systems for Power Quality Improvement—A Systematic Review Exploring Their Efficacy and Efficiency

Fuzzy Control Systems for Power Quality Improvement—A Systematic Review Exploring Their Efficacy and Efficiency

Control of shunt active power filter using soft computing techniques

Single-phase Active Power Filters With Reduced Number Of Power Switches And Optimum Voltage Control Angle

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