Concentric circular antenna array synthesis for side lobe suppression using moth flame optimization

Das, Avishek; Mandal, Durbadal; Ghoshal, Sakti Prasad; Kar, Rajib

doi:10.1016/j.aeue.2018.01.017

Cited by 42 publications

(48 citation statements)

References 17 publications

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“…The CCAA has extensive applications in radio systems like direction finding, radar, RF transmission, navigation and underground propagation, etc. A lot of research on CCAA synthesis has been reported in previous studies . A number of heuristic search algorithms like cat swarm optimization (CSO), biogeography‐based optimization (BBO), firefly algorithm (FA), symbiotic organism search (SOS), moth‐flame optimization (MFO) have been employed for the design of CCAA.…”

Section: Introductionmentioning

confidence: 99%

An optimal far‐field radiation pattern synthesis of time‐modulated linear and concentric circular antenna array

Das

Mandal

Kar

2019

Int J Numerical Modelling

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In this paper, an optimal far‐field radiation pattern synthesis by using time modulation technique is carried out for linear antenna array (LAA), and concentric circular antenna array (CCAA) designs using a stochastic optimization method called grey wolf optimization (GWO). An improved far‐field radiation characteristic mainly depends on the synthesis of low side lobe level (SLL) and narrow first null beam width (FNBW). A low SLL is a requirement to reduce the interference by the other systems operating in the same frequency band. A narrow FNBW is necessary to obtain a high directivity. In time modulation technique, “time” has a most significant role. It is considered as the fourth‐dimensional parameter as it plays the role of an additional degree of freedom to achieve an improved radiation pattern. The time‐modulated antenna array (TMAA) radiates at various harmonic frequencies for the periodic switching time sequence. In this paper, the generation of radiation pattern only at the fundamental/central frequency and at its first two harmonic frequencies are considered. The GWO algorithm is a flexible and robust search algorithm and is applied here to find out the optimum sets of switching on‐time duration for each array element and to determine the optimum inter‐element separation between two array elements of the 16‐element time‐modulated linear antenna array (TMLAA) and the nine‐ring time‐modulated concentric circular antenna array (TMCCAA). The GWO algorithm‐based results show a substantial improvement in far‐field radiation pattern synthesis compared with the uniform radiation pattern and those of the methods reported in state‐of‐the‐art literature.

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Section: Introductionmentioning

confidence: 99%

An optimal far‐field radiation pattern synthesis of time‐modulated linear and concentric circular antenna array

Das

Mandal

Kar

2019

Int J Numerical Modelling

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“…Accordingly, each moth searches around a flag (flame) and updates its position for finding an enhanced solution. Due to this phenomenon, a moth not ever misses its best solution …”

Section: Introduction To Mfo Algorithmmentioning

confidence: 99%

“…This algorithm follows below given steps having three different functions ( I , P , and T ) for attaining the global optimal of any optimization problem, which can be characterized as follows:

italicMFO = (I, P, T)

…”

Section: Introduction To Mfo Algorithmmentioning

confidence: 99%

“…The P is the main function among all three functions, used to move the moths around the search space. This function received the matrix W as an input and returned the updated matrix as follows:

P : W \to W

…”

Section: Introduction To Mfo Algorithmmentioning

confidence: 99%

“…The MFO has found effective in optimal reactive power dispatch on several IEEE bus system, robust controller designing in a two‐area photovoltaic (PV) integrated system, and multi‐area, multi‐source traditional power system . This algorithm is also implemented to mend the far‐field radiation characteristics of the antenna . Therefore, it is worth to check the efficacy of this algorithm to find the optimal gain parameters of all controllers in the proposed study.…”

Section: Introduction To Mfo Algorithmmentioning

confidence: 99%

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Grid frequency enhancement using coordinated action of wind unit with redox flow battery in a deregulated electricity market

Dhundhara

Verma

2020

Int Trans Electr Energ Syst

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Summary Growing electricity demand, environmental issues, and challenge to decrease dependence on fossil fuel resources have increased the inception of wind generation into the power system. However, higher penetration of wind‐based generating units into the existing grid can affect the working of the power system. Traditionally, a wind unit does not provide inertia, but collectively, wind units can have a notable impact on the dynamic performance of the power system. However, the battery energy storage systems have the potential to offer flexibility and ancillary supports to the power system. This article evaluates the impact of redox flow battery (RFB) in coordination with a doubly fed induction generator (DFIG)–based wind turbine unit (WTU) to enrich the dynamic performances of a multi‐source interconnected power system in a deregulated electricity market. The modified inertial control scheme is proposed for the DFIG unit that responds in the event of frequency deviation in the grid. The turbine sheds its kinetic energy and provides active power injection, thereby enhancing the frequency response of the system. The recently developed moth‐flame optimization (MFO) algorithm is employed for optimal tuning of the proportional‐integral (PI) controller and the speed regulator of a DFIG‐WTU. The simulation studies have been executed to analyze the impact of the RFB with WTU on the system frequency, tie‐line and different generating units power through a comparative study in terms of the settling time, and peak overshoot/undershoot in a deregulated electricity market. The analysis reveals that the WTU effectively contributes to sustaining the frequency and tie‐line power oscillations during abrupt load disturbances in the proposed power system. Moreover, the inclusion of RFB in coordination with the WTU helps to reduce the stress on a wind turbine during inertial control scheme. It can also reduce wind curtailments by absorbing excess power flowing through transmission lines, reduces wastage of green energy, and gives better dynamic response under different operating conditions of the deregulated electricity market.

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Meta‐heuristic optimization algorithms for placement of multiple nulls and minimization of side lobe level in quadrant symmetric sparse array antenna

Dutta

Misra

Mahanti

2022

Int J Communication

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Summary The optimization of the non‐uniform planar array antenna parameter in order to minimize the signal interference in the electromagnetic environment through null placement is one of the most important areas of investigation in the field of wireless communication. This study deals with an effective method of synthesis of a quadrant symmetric sparse planar array antenna using the novel implementation of the well‐known meta‐heuristic optimization algorithms, namely, symbiotic organism search (SOS) and moth flame optimization (MFO) algorithms. The objective of this work is to place multiple small and wide nulls at the desired angles and simultaneously minimize the side lobe levels using a nonlinear mathematical approach. Three examples are presented with constraints that include the inter‐elemental distance, fixed number of array elements in the aperture, and the aperture size. The radiating antenna array elements are considered to have fixed uniform current distribution. The meta‐heuristic optimization approach offers the advantages of avoiding the infeasible solution while finding the best optimal set of element positions to reduce side lobe level in the desired radiation pattern. The radiation pattern characteristics and the computation time associated with each example and each algorithm are recorded and compared for arriving at the conclusion. The superiority of SOS is found in terms of the optimized side lobe levels. At the same time, both algorithms are found to be efficient in positioning the symmetric nulls in desired locations in the radiation pattern successfully. When compared with the published papers, proposed approach yields better results confirming the effectiveness of the performance of these algorithms.

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Concentric circular antenna array synthesis for side lobe suppression using moth flame optimization

Cited by 42 publications

References 17 publications

An optimal far‐field radiation pattern synthesis of time‐modulated linear and concentric circular antenna array

An optimal far‐field radiation pattern synthesis of time‐modulated linear and concentric circular antenna array

Grid frequency enhancement using coordinated action of wind unit with redox flow battery in a deregulated electricity market

Meta‐heuristic optimization algorithms for placement of multiple nulls and minimization of side lobe level in quadrant symmetric sparse array antenna

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