Pareto‐optimal design of UHF antenna using modified non‐dominated sorting genetic algorithm II. Issue 12 (10th July 2020)

• Record Type: Journal Article
• Authors: Bin, Feng; Wang, Feng; Chen, She; Sun, Qiuqin; Zhong, Lipeng; Lin, Shu
• Is Part Of: IET microwaves, antennas & propagation. Volume 14:Issue 12(2020)
• Page Start: 1404
• Page End: 1410
• Publication Date: 2020-07-10
• Subjects: Pareto optimisation -- genetic algorithms -- broadband antennas -- UHF antennas; Pareto‐optimal design -- UHF antenna -- modified nondominated sorting genetic algorithm II -- partial discharge detection -- high fidelity factor -- MNSGA‐II -- labour division strategy -- adaptive crossover -- mutation possibilities -- Pareto‐optimal solutions -- wideband antennas -- ultra‐high‐frequency antenna -- multiobjective optimisation problems -- frequency 490.0 MHz to 1.52 GHz; Microwaves -- Periodicals; Microwave antennas -- Periodicals; Antennas (Electronics) -- Periodicals; Radio wave propagation -- Periodicals; Microwave communication systems -- Periodicals; 621.381305
• DOI: 10.1049/iet-map.2020.0121
• Languages: English
• ISSNs: 1751-8725

Abstract

Abstract : In this study, the ultra‐high‐frequency (UHF) antenna for partial discharge (PD) detection is optimised to simultaneously satisfy the requirements of low return loss and high fidelity factor (FF) in the frequency band of interest by using the modified non‐dominated sorting genetic algorithm II (MNSGA‐II). Based on the labour division strategy, the MNSGA‐II adopts an adaptive crossover and mutation possibilities instead of the fixed ones, resulting in the significant improvement of convergence rate and exploration ability. One of the Pareto‐optimal solutions is presented as the authors' proposed UHF antenna, whose performance is compared with those of both the antenna optimised by genetic algorithm and the existing wideband antennas. The experimental results show that the proposed antenna with a compact size of 0.201 λ L × 0.198 λ L realises the reflection coefficient less than −10 dB from 490 MHz to 1.52 GHz, and its FFs in the face‐to‐face and side‐by‐side scenarios are 0.897 and 0.845, respectively. Furthermore, the simulation results reveal that the high FF of antenna greatly increases the accuracy of PD source localisation. It indicates that the MNSGA‐II provides an excellent solution to the multiobjective optimisation problems in antenna design.