Optimal Design of Large Mode Area Photonic Crystal Fibers Using a Multiobjective Gray Wolf Optimization Technique

Rashidi, K.; Mirjalili, Seyed Mohammad; Taleb, Hussein; Fathi, Davood

doi:10.1109/jlt.2018.2877925

Cited by 21 publications

(13 citation statements)

References 31 publications

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“…It has the value of and respectively. Here , are random vectors that range from 0 to 1 and The component exhibits a linear drop from 2 to 0 during the iterations, enabling the wolf to attain any location within the range of the two spots 14 .…”

Section: Classification Of Finite Discrete Length Sequencesmentioning

confidence: 99%

Fine-tuning digital FIR filters with gray wolf optimization for peak performance

Samiappan,

Prabukumar

2024

Sci Rep

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The design of optimum filters constitutes a fundamental aspect within the realm of signal processing applications. The process entails the calculation of ideal coefficients for a filter in order to get a passband with a flat response and an unlimited level of attenuation in the stopband. The objective of this work is to solve the FIR filter design problem and to compare the optimal solutions obtained from evolutionary algorithms. The design of optimal FIR low pass (LP), high pass (HP), and band stop (BS) filters is achieved by the utilization of nature-inspired optimization approaches, namely gray wolf optimization ,cuckoo search, particle swarm optimization, and genetic algorithm. The filters are evaluated in terms of their stop band attenuation, pass band ripples, and departure from the anticipated response. In addition, this study compares the optimization strategies applied in the context of algorithm execution time which is achievement of global optimal outcomes for the design of digital finite impulse response (FIR) filters. The results indicate that when the Gray wolf algorithm is applied to the development of a finite impulse response (FIR) filter, it produces a higher level of performance than other approaches, as supported by enhanced design precision, decreased execution time, and achievement of an optimal solution.

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Section: Classification Of Finite Discrete Length Sequencesmentioning

confidence: 99%

Fine-tuning digital FIR filters with gray wolf optimization for peak performance

Samiappan,

Prabukumar

2024

Sci Rep

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“…Такой алгоритм построения структуры МВС-18 дает весьма широкие возможности для варьирования различных ее параметров (d1, d2 и d3, а также 1, 2, 3 и 4) с целью оптимизации характеристик МВС, в частности, потерь на вытекание для фундаментальных (основных) и высших мод. Определение наиболее оптимального соотношения параметров МВС-18 для конкретной задачи возможно с использованием алгоритма мультиобъектной оптимизации, однако даже при использовании суперкомпьютера это может потребовать непрерывного счета на протяжении нескольких дней [32]. Поэтому мы выбрали относительно простую задачу: получение одномодового режима в спектральной области около  = 1,05 мкм шириной не менее 0,1 мкм для МВС-18 с сердцевиной диаметром Dcore = 20 мкм при фиксированном отношении диаметров элементов d2/d1 = 1,15, d3 = d1 (исходя из имеющихся у нас в наличии трубчатых алмазных сверл для изготовления заготовки) и при радиусе изгиба до 0,08 м. Остальные параметры структуры МВС-18 определялись путем подбора до получения требуемых величин потерь на вытекание основных и высших мод для некоторых выбранных контрольных длин волн.…”

Section: описание геометрической структуры мвсunclassified

All-glass leakage channel microstructured optical fibers with large mode area and low bending loss

Denisov¹,

Semyonov²,

Likhachev³

et al. 2023

appl. photonics

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The present paper presents the results of theoretical and experimental studies of all-glass leakage channel microstructured optical fibers (MOFs) with large mode area and low bending loss. These MOFs comprise two layers of fluorine-doped silica glass elements with reduced refractive index, different diameters and different distances between them. Numerical analysis of the properties of these MOFs is performed using the finite element method. The leakage losses for fundamental and higher order modes in the spectral range from 0.70 μm to 1.65 μm for straight and bended MOFs is calculated. It is shown that the proposed MOF design makes it possible to obtain a single-mode regime in the spectral range from 0.98 μm to 1.14 μm with a bending radius up to 0.08 m, while the leakage loss for a bended MOF at a wavelength of 1.05 μm is 0.052 dB/m. The measured loss of manufactured MOF with a core diameter of 22.5 μm at a bending radius of 0.1 m was less than 0.1 dB/m in the spectral range from 0.9 μm to 1.5 μm. It has been demonstrated that segments of this MOF with a length of more than 5 m are single-mode.

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“…The incremental conductance algorithm evaluates the variance path of the instantaneous power of solar modules for incremental conductance by calculating and comparing it with its previous value. If the value (dI pv /dV pv ) equals (−I pv /V pv ), it implies that the maximum power point (MPP) is reached [17][18] . The P-V curve for the solar module is shown in Fig.…”

Section: Incremental Conductance Algorithmmentioning

confidence: 99%

“…Finally, the performance of the GWO was further verified on the optimization design of two representative antennas, namely, dual-band E-shaped patch and wideband magneto-electric dipole antennas. Rashidi et al [18] optimized the structure using the multi-objective GWO to maximize the effective mode area and bending loss of higher-order modes, while minimizing the fundamental mode loss. The various control algorithms that use Ziegler and Nichols tuning method to estimate K p and K i gains for proportional-integral (PI) controllers and require settling time for dynamics have limitations.…”

mentioning

confidence: 99%

Optimized Controller Gains Using Grey Wolf Algorithm for Grid Tied Solar Power Generation with Improved Dynamics and Power Quality

Rajagopal

Sharath

Gundeboina

et al. 2022

Chin. J. Electr. Eng.

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This study proposes a control algorithm based on synchronous reference frame theory with unit templates instead of a phase locked loop for grid-connected photovoltaic (PV) solar system, comprising solar PV panels, DC-DC converter, controller for maximum power point tracking, resistance capacitance ripple filter, insulated-gate bipolar transistor based controller, interfacing inductor, linear and nonlinear loads. The dynamic performance of the grid connected solar system depends on the effect operation of the control algorithm, comprising two proportional-integral controllers. These controllers estimate the reference solar-grid currents, which in turn generate pulses for the three-leg voltage source converter. The grey wolf optimization algorithm is used to optimize the controller gains of the proportional-integral controllers, resulting in excellent performance compared to that of existing optimization algorithms. The compensation for neutral current is provided by a star-delta transformer (non-isolated), and the proposed solar PV grid system provides zero voltage regulation and eliminates harmonics, in addition to load balancing. Maximum power extraction from the solar panel is achieved using the incremental conductance algorithm for the DC-DC converter supplying solar power to the DC bus capacitor, which in turn supplies this power to the grid with improved dynamics and quality. The solar system along with the control algorithm and controller is modeled using Simulink in Matlab 2019.

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Optimal Design of Large Mode Area Photonic Crystal Fibers Using a Multiobjective Gray Wolf Optimization Technique

Cited by 21 publications

References 31 publications

Fine-tuning digital FIR filters with gray wolf optimization for peak performance

Fine-tuning digital FIR filters with gray wolf optimization for peak performance

All-glass leakage channel microstructured optical fibers with large mode area and low bending loss

Optimized Controller Gains Using Grey Wolf Algorithm for Grid Tied Solar Power Generation with Improved Dynamics and Power Quality

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