Hybrid least-square adaptive bacterial foraging strategy for harmonic estimation

Mishra, Sukumar

doi:10.1049/ip-gtd:20049016

Cited by 61 publications

(25 citation statements)

References 6 publications

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“…The E. coli bacteria present in our intestines also practice a foraging strategy. The control system of these bacteria governing their foraging process can be subdivided into four sections, which are chemotaxis, swarming, reproduction and elimination and dispersal [53][54][55].…”

Section: Bacterial Foragingmentioning

confidence: 99%

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Interference Suppression of Linear Antenna Arrays by Amplitude-Only Control Using a Bacterial Foraging Algorithm

Güney¹,

Başbuğ²

2008

PIER

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Abstract-This paper presents a bacterial foraging algorithm (BFA) for null steering of linear antenna arrays by controlling only the element amplitudes. The BFA is a new evolutionary computing technique based on the foraging behavior of Escherichia (E.) coli bacteria in human intestine. To show the accuracy and flexibility of the proposed BFA, several examples of Chebyshev array pattern with the imposed single, multiple and broad nulls are given. It is found that the nulling method based on BFA is capable of steering the array nulls precisely to the undesired interference directions.

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Section: Bacterial Foragingmentioning

confidence: 99%

“…It was successfully used to solve various kinds of engineering problems [54][55][56][57][58][59][60][61][62][63]. It has been shown by Lin and Liu [56] that the BFA is better than the particle swarm optimization in the identification of the Hammerstein model in terms of convergence, robustness and precision.…”

Section: Introductionmentioning

confidence: 99%

Interference Suppression of Linear Antenna Arrays by Amplitude-Only Control Using a Bacterial Foraging Algorithm

Güney¹,

Başbuğ²

2008

PIER

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“…BFA is based on the foraging behavior of Escherichia coli (E. coli) bacteria present in the human intestine [7] and already been in use to many engineering problems including antenna arrays [5,[8][9][10][11]. In Ref.…”

Section: Introductionmentioning

confidence: 99%

Application of bacteria foraging algorithm for the design optimization of multi-objective Yagi-Uda array

Mangaraj¹,

Misra²,

Sanyal³

2010

Int J RF and Microwave Comp Aid Eng

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The design of antenna array with desirable multiple performance parameters such as directivity, input impedance, beam width, and side-lobe level using any optimization algorithm is a highly challenging task. Bacteria Foraging Algorithm (BFA), as reported by electrical engineers, is the most robust and efficient algorithm in comparison with other presently available algorithms for global optimization of multi-objective, multi-parameter design problems. The objective of this article is to apply this new optimization technique, BFA, in the design of YagiUda array for multi-objective design parameters. We optimize length and spacing for 6 and 15 elements array to achieve higher directivity, pertinent input impedance, minimum 3-dB beam width, and maximum front to back ratio both in the E and H planes of the array. At first, we develop a Method of Moments code in MATLAB environment for the Yagi-Uda array structure for obtaining the above design parameters and then coupled with the BFA for the evaluation of the optimized design parameters. Detail simulation results are included to confirm the design criteria.

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“…Whereas, h repelent is the height of the repellant effect and ω repelent is the measure of the width of the repellant which controls the tendency to repel other cells. The magnitude of d attract and h repelent should be same [10]. It is so chosen such that there is no penalty added to the cost function when the bacterial population converges, i.e.…”

Section: Bacteria Foraging For the Optimal Control Of Dfig Systemmentioning

confidence: 99%

Eigenvalue Analysis of a DFIG Based Wind Power System under Different Modes of Operations

Mishra

et al. 2010

Green Energy and Technology

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Abstract. This chapter discussed the various mode of operation of the Doubly Fed Induction Generator (DFIG) based wind farm system. The impact of a auxiliary damping controller on the different modes of operation for the DFIG based wind generation system is investigated. The co-ordinated tuning of the damping controller to enhance the damping of the oscillatory modes using Bacteria Foraging (BF) technique is presented. The results from eigenvalue analysis are presented to elucidate the effectiveness of the tuned damping controller in the DFIG system under Super/Sub-synchronous speed of operation. The robustness issue of the damping controller is also investigated.

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Hybrid least-square adaptive bacterial foraging strategy for harmonic estimation

Cited by 61 publications

References 6 publications

Interference Suppression of Linear Antenna Arrays by Amplitude-Only Control Using a Bacterial Foraging Algorithm

Interference Suppression of Linear Antenna Arrays by Amplitude-Only Control Using a Bacterial Foraging Algorithm

Application of bacteria foraging algorithm for the design optimization of multi-objective Yagi-Uda array

Eigenvalue Analysis of a DFIG Based Wind Power System under Different Modes of Operations

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