Self-recoverable element failure correction in circular antenna array using artificial rabbit optimization for space applications

Singh, Harbinder and Kumar, Sunil and Bhattu, Monika and Pal, Amrindra and Al Gburi, Ahmed Jamal Abdullah (2025) Self-recoverable element failure correction in circular antenna array using artificial rabbit optimization for space applications. Engineering Computations, 42. pp. 2988-3007. ISSN 0264-4401

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Abstract

Purpose – Phased array antennas utilized for different space applications, such as deep space vehicles, satellite communication, telemetry tracking and control communication systems, may suffer from single or multiple element failure because of the harsh space environment or long period operation of amplifiers present in them. Design/methodology/approach – Phased array antennas are capable of generating highly directed signals, rapid beam scanning and high gain by using multiple antenna steering in a desirable direction. However, this could also lead to a higher probability of defective elements in the array that are difficult to replace if the application is distant or space-borne. Faulty elements in a circular antenna array (CAA) can rigorously distort the radiation pattern, which results in degrading the array efficacy by increased sidelobe levels (SLL), beam broadening and gain reduction. Findings – In this research article, the issue of recovering the desired side lobe power pattern from the remaining active elements can be achieved successfully by reoptimizing the array excitation parameters. Research limitations/implications – While the results are promising, the study is limited to simulations and theoretical modelling, which might not capture all real-world variables affecting space-borne antenna systems. Future research should focus on empirical testing in actual space conditions to validate the effectiveness of the artificial rabbits optimization (ARO) technique. Additionally, the study concentrates on a specific type of antenna array (CAA), and the generalizability of ARO to other array geometries like linear, rectangular and concentric circular arrays remains to be explored. Practical implementation may also reveal unforeseen challenges in the scalability and adaptability of the ARO technique in diverse operational scenarios. Practical implications – The practical implications of this study are significant for the design and maintenance of antenna systems in space environments. By implementing artificial rabbits optimization (ARO), engineers can enhance the fault tolerance of circular antenna arrays without necessitating physical replacements, thus reducing maintenance costs and extending the operational lifespan of space-borne equipment. ARO’s ability to adaptively optimize the array’s performance post-fault occurrence offers a reliable method for maintaining communication integrity in critical missions. This approach can be integrated into existing systems, providing a robust solution for optimizing performance amidst the challenging conditions of space operations. Social implications – The application of artificial rabbits optimization (ARO) in maintaining the integrity of space-borne communication systems has broader social implications. By ensuring reliable and uninterrupted communication capabilities in space missions, ARO contributes to enhanced safety for spacecraft and satellites, which is crucial for manned missions and high-stakes satellite operations. Furthermore, improved communication reliability supports better data transmission from space exploration, impacting scientific research and global communication networks. This technology could lead to more sustainable and cost-effective space missions, potentially making space more accessible and fostering greater international collaboration in space exploration and satellite deployment. Originality/value – The mechanism of self-recoverable CAA with the prior knowledge of faulty elements can be attained effectively by implementing a novel metaheuristic artificial rabbits optimization (ARO) technique. This proposed approach also compares some of the state-of-the-art metaheuristics in element failure correction of faulty CAA.

Item Type:	Article
Uncontrolled Keywords:	Deep space vehicles, Circular antenna array, Array factor, Array failure, Metaheuristic, Artificial rabbits optimization
Divisions:	Faculty Of Electronics And Computer Technology And Engineering
Depositing User:	Norfaradilla Idayu Ab. Ghafar
Date Deposited:	30 Dec 2025 03:37
Last Modified:	30 Dec 2025 03:37
URI:	http://eprints.utem.edu.my/id/eprint/29325
Statistic Details:	View Download Statistic

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