Simulation of Fuzzy Logic Based Shunt Hybrid Active Filter for Power Quality Improvement

Bangia, Sakshi; Sharma, P. R.; Garg, Maneesha

doi:10.5815/ijisa.2013.02.12

Cited by 6 publications

(3 citation statements)

References 9 publications

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“…Logika fuzzy berfungsi untuk mewakili sesuatu yang tidak pasti dan tidak tepat dari sistem, sedangkan kontrol fuzzy memungkinkan untuk mengambil keputusan walaupun input atau output dari sistem tidak pasti dan tidak dapat diperkirakan [7][8][9].…”

Section: Konsep Fuzzy Logicunclassified

Desain Filter Aktif dengan Skema Fuzzy Logic Controller untuk Mereduksi Harmonisa

Dani¹,

Baafai²,

Ramli

2014

JRE

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Section: Konsep Fuzzy Logicunclassified

Desain Filter Aktif dengan Skema Fuzzy Logic Controller untuk Mereduksi Harmonisa

Dani¹,

Baafai²,

Ramli

2014

JRE

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“…ANFIS represent the promising new generation of information processing systems. Adaptive network based fuzzy inference systems are good at tasks such as pattern matching and classification, function approximation, optimization and data clustering, while traditional computers, because of their architecture, are inefficient at these tasks, especially pattern-matching tasks [14][15][16][17][18].…”

Section: Introductionmentioning

confidence: 99%

Identification of the Control Chart Patterns Using the Optimized Adaptive Neuro-Fuzzy Inference System

Nikpey¹,

Mirzaei²,

Pourmandi³

et al. 2014

IJMECS

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Unnatural patterns in the control charts can be associated with a specific set of assignable causes for process variation. Hence pattern recognition is very useful in identifying process problem. This paper presents a novel hybrid intelligent method for recognition of common types of control chart patterns (CCPs). The proposed method includes three main modules: the feature extraction module, the classifier module and the optimization module. In the feature extraction module, a proper set of the shape features and statistical features is proposed as the efficient characteristic of the patterns. In the classifier module adaptive neuro-fuzzy inference system (ANFIS) is investigated. In ANFIS training, the vector of radius has very important role for its recognition accuracy. Therefore, in the optimization module, cuckoo optimization algorithm (COA) is proposed for finding of optimum vector of radius. Simulation results show that the proposed system has high recognition accuracy.

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“…The major drawback was in attaining the optimal performance. But, today different types of intelligent controllers are grabbing the attention of researcher [15][16][17]. These controllers efficiently handles system non-linearity, noisy signals and provides better performance of the system in terms of rise time, settling time etc.…”

Section: Introductionmentioning

confidence: 99%

Traditional PI and FPIL Based VFCU for an Isolated Induction Generator (IIG)

Boora¹,

Agarwal²,

Sandhu³

2017

IJISA

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Abstract-With the increase in load, the AC terminal voltage and frequency at the consumer premises decreases. Hence, there is encountered a need of some simple and intelligent controller which can support both voltage and frequency under load conditions. This manuscript emphasis on implementation and testing of traditional PI and non-traditional fuzzy PI logic (FPIL) based voltage and frequency controller unit (VFCU) in MATLAB based SIMULINK environment for an IIG for step change in consumer load. The electronic Controller comprises of various elements: a 3-leg diode bridge rectifier, chopper as a switch, dc filtering capacitor, discrete PI controller block, fuzzy logic controller block, and a resistive type dump load. The transient and the steady state behavior of IIG-VFCU system is examined and tested under different operating conditions to illustrate the efficaciousness of intelligent controller as compared to traditional PI controller. The performance enhancement of IIG is attained relating to rise time, settling time, overshoot and THD values using the planned intelligent controller.

show abstract

Simulation of Fuzzy Logic Based Shunt Hybrid Active Filter for Power Quality Improvement

Cited by 6 publications

References 9 publications

Desain Filter Aktif dengan Skema Fuzzy Logic Controller untuk Mereduksi Harmonisa

Desain Filter Aktif dengan Skema Fuzzy Logic Controller untuk Mereduksi Harmonisa

Identification of the Control Chart Patterns Using the Optimized Adaptive Neuro-Fuzzy Inference System

Traditional PI and FPIL Based VFCU for an Isolated Induction Generator (IIG)

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