Optimization and analysis of high gain wideband microstrip patch antenna using genetic algorithm

Mishra, Raj Gaurav; Mishra, Ranjan; Kuchhal, Piyush; Kumari, N. Prasanthi

doi:10.14419/ijet.v7i1.5.9142

Cited by 14 publications

(4 citation statements)

References 12 publications

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“…Genetic Algorithms (GAs) [40] have been employed in literature for a multitude of applications, solving problems ranging from optimal design of antennas and structural components, to control strategies for robotic applications, to aerodynamic optimization of turbomachinery [41][42][43][44]. Generally, GAs are best suited for problems featuring an expensive objective function depending on multiple variables.…”

Section: Proposed Fault Detection and Identification Algorithm And Prmentioning

confidence: 99%

Model-Based Fault Detection and Identification for Prognostics of Electromechanical Actuators Using Genetic Algorithms

et al. 2019

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Traditional hydraulic servomechanisms for aircraft control surfaces are being gradually replaced by newer technologies, such as Electro-Mechanical Actuators (EMAs). Since field data about reliability of EMAs are not available due to their recent adoption, their failure modes are not fully understood yet; therefore, an effective prognostic tool could help detect incipient failures of the flight control system, in order to properly schedule maintenance interventions and replacement of the actuators. A twofold benefit would be achieved: Safety would be improved by avoiding the aircraft to fly with damaged components, and replacement of still functional components would be prevented, reducing maintenance costs. However, EMA prognostic presents a challenge due to the complexity and to the multi-disciplinary nature of the monitored systems. We propose a model-based fault detection and isolation (FDI) method, employing a Genetic Algorithm (GA) to identify failure precursors before the performance of the system starts being compromised. Four different failure modes are considered: dry friction, backlash, partial coil short circuit, and controller gain drift. The method presented in this work is able to deal with the challenge leveraging the system design knowledge in a more effective way than data-driven strategies, and requires less experimental data. To test the proposed tool, a simulated test rig was developed. Two numerical models of the EMA were implemented with different level of detail: A high fidelity model provided the data of the faulty actuator to be analyzed, while a simpler one, computationally lighter but accurate enough to simulate the considered fault modes, was executed iteratively by the GA. The results showed good robustness and precision, allowing the early identification of a system malfunctioning with few false positives or missed failures.Aerospace 2019, 6, 94 2 of 15 occurrence of a failure before the scheduled substitution of the interested system. Monitoring the behavior of an actuator could enable to detect the early signs of different progressive faults, in order to timely correct them. If a tool would be available with a high grade of robustness to isolate those incipient faults, most failure modes of the flight control system could be identified before they start affecting the performance of the system in terms of dynamical response, stability, stall force, or positioning accuracy. The discipline aimed to this purpose is called Prognostics and Health Management (PHM) (as reported in [1]). The application of PHM strategies involves the analysis of functional parameters of the system in form of electrical signals: for this reason, the use of electrical actuators someway represents an advantage, because no conversion of the signals (and therefore no additional sensors) is needed. Due to the complexity and to the multi-disciplinary nature of the monitored systems, the FDI task on EMA systems is particularly challenging, since several failure modes interact and an acceptable accuracy is hardly ac...

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Section: Proposed Fault Detection and Identification Algorithm And Prmentioning

confidence: 99%

Model-Based Fault Detection and Identification for Prognostics of Electromechanical Actuators Using Genetic Algorithms

et al. 2019

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“…Some researchers use GA to optimize antennas, in microstrip design, by changing their physical dimensions and the format of the patches array [6], or by the minimization and evaluation of a single rectangular patch [7], [8]. In [9], the authors also use GA for linear optimization of an antenna array.…”

Section: Introductionmentioning

confidence: 99%

Control of Mutual Coupling in Microstrip Antenna Design Based on Bio-inspired Algorithms

Leal

Lopes

Alencar

et al. 2023

J. Microw. Optoelectron. Electromagn. Appl.

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This paper presents a model that uses bio-inspired optimization algorithms to control of the mutual coupling (MC) in Multiple-Input Multiple-Output (MIMO) systems. The method promotes an increase in the channel throughput and a reduction in the distance among the array elements, searching values less than a half wavelength. A microstrip antenna design, at the frequency of 26 GHz, is used as a prototype for MIMO system testing and performance analysis. Genetic Algorithm (GA) is used to optimize, to determine the antenna physical parameters and to improve its performance. The mutual impedance concept is used to model the MC. The particle swarm optimization (PSO) algorithm is used to optimize the channel throughput and to reduce the distance between the elements. Simulation results show that it is possible to obtain a MIMO system performance improvement of 11.1% in channel throughput, the microstrip width is reduced by 14.5% and the distance among the elements can be reduced by 23.7%, considering the MC.

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“…This with cost effective fabrication and prototyping is very important in the performance evaluation. As most of the versatile communications found their place in X-band, hence the demand of suitable andeffective microstrip antennas at X-band of operation becomes very much in demand [2]. Microstrip antenna shows narrow bandwidth, and their performance is dependent on the properties of substrate.…”

Section: Introductionmentioning

confidence: 99%

Design of a High Gain Compact Circular Microstrip Patch Antenna for X-Band

Patel¹,

Jadaun²,

Lal³

et al. 2018

IJET

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This paper presents design a High Gain Small Size Microstrip Patch Antenna for X-Band applications such as Moving target RADAR sensor, Motion detector, Microwave camera, Ground Penetration RADAR sensors, wall penetration scanners and many medical applications. Now we have to selected circular geometry of micro strip patch antenna because circular geometry overcomes edge effect of antenna. The proposed antenna is designed to operate for X-band at the centre frequency of 10 GHz. The proposed Circular patch antenna is compact and easy to body mount with a high efficiency. The compactness makes it a better choice as compare with other antenna in the X-band. The proposed antenna shows a very sharp return loss of -46 dB at 10 GHz having narrow pattern with a good gain of 4.7 dBi. This enables its use in high directional applications. The paper represents the designing steps, and the simulation result obtained. The software used here for this circular shaped microstrip antenna is IE3D. Various parameters such as gain, power, radiation pattern, and S11 of the antenna are mentioned.

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Optimization and analysis of high gain wideband microstrip patch antenna using genetic algorithm

Cited by 14 publications

References 12 publications

Model-Based Fault Detection and Identification for Prognostics of Electromechanical Actuators Using Genetic Algorithms

Model-Based Fault Detection and Identification for Prognostics of Electromechanical Actuators Using Genetic Algorithms

Control of Mutual Coupling in Microstrip Antenna Design Based on Bio-inspired Algorithms

Design of a High Gain Compact Circular Microstrip Patch Antenna for X-Band

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