Abstract

The Artificial Hummingbird Algorithm is a meta-heuristic algorithm presented to the literature by Liying Wang in 2021 and is a nature-inspired optimization algorithm that mimics the foraging behaviours of hummingbirds. The algorithm implements guided feeding and migration mechanisms using axial, diagonal and omnidirectional flight capabilities. In this study, harmonic estimation is performed using the Artificial Hummingbird Algorithm to solve the acceleration harmonic problem at the output of an electro-mechanical shaking table system. The Artificial Hummingbird Algorithm is run many times on a harmonic signal containing six harmonic components proposed in the literature and the estimation results obtained are analysed. In this process, precise amplitude and phase values are obtained and these values are compared with other optimization algorithms in the literature. As a result of the comparison, the performance of the proposed algorithm is evaluated and its effectiveness in terms of accuracy is analysed. As a result, the Artificial Hummingbird Algorithm, with its high accuracy and efficient estimation capability, provides a successful and reliable solution method for the harmonic estimation problem whose solution is sought in the literature.

References

[1] J. Oluwafemi, O. Ofuyatan, A. Ede, S. Oyebisi, I. Akinwumi and K. Babaremu, "Review of Earthquakes In Nigeria: An Understudied Area," International Journal of Civil Engineering and Technology, vol. 9, no. 7, 2018.

[2] J. Oluwafemi, O. Ofuyatan, A. Ede, B. Ngene, S. Oyebisi and O. Oshokoya, "Simulated Response of Buildings to Earthquake in the South-Western Region of Nigeria," International Journal of Civil Engineering and Technology, pp. 467-475, 2018.

[3] Shaban, N., & Caner, A. (2018). Shake table tests of different seismic isolation systems on a large-scale structure subjected to low to moderate earthquakes. Journal of traffic and transportation engineering (English edition), 5(6), 480-490.

[4] Onat, O., Lourenco, P., & Kocak, A. (2016). Nonlinear analysis of RC structure with massive infill wall exposed to shake table. Earthquakes and Structures, 10.

[5] Rakicevic, Z., Bogdanovic, A., Farsangi, E. N., & Sivandi-Pour, A. (2021). A hybrid seismic isolation system toward more resilient structures: Shaking table experiment and fragility analysis. Journal of Building Engineering, 38, 102194.

[6] Sunca, F., & Altunışık, A. C. (2022, November). Large-Scale Shake Table Tests on Pounding Response of RC Buildings. In International Conference on Advanced Technologies for Humanity (pp. 49-60). Cham: Springer Nature Switzerland.

[7] Korobiichuk, Igor, et al. (2018) "Methods and ways of piezoelectric accelerometers fastening on the objects of research." Acta Physica Polonica A 133.4 (2018): 1112-1115.

[8] Ingale, Rajesh. "Harmonic analysis using FFT andSTFT." International Journal of Signal Processing, ImageProcessing and Pattern Recognition 7.4 (2014): 345-362.

[9] Yao, J., Yu, H., Dietz, M., Xiao, R., Chen, S., Wang, T., & Niu, Q. (2017). Acceleration harmonic estimation for a hydraulic shaking table by using particle swarm optimization. Transactions of the Institute of Measurement and Control, 39(5), 738-747.

[10] Yao, J., Yan, H., Xiao, R., Di, D., Jiang, G., Gao, S., & Yu, H. (2015). Sinusoidal acceleration harmonic estimation using the extended Kalman filter for an electro-hydraulic servo shaking table. Journal of Vibration and Control, 21(8), 1566-1579.

[11] Kockanat, S. (2020). Acceleration harmonics estimation and elimination with MABC–RLS algorithm: Simulation and experimental analyses on shaking table. Applied Soft Computing, 92, 106377.

[12] Yao, J., Wan, Z., & Fu, Y. (2018). Acceleration harmonic estimation for hydraulic servo shaking table by using simulated annealing algorithm. Applied Sciences, 8(4), 524.

[13] Yao, J., Wan, Z., & Fu, Y. (2018). Acceleration harmonic estimation in a hydraulic shaking table using water cycle algorithm. Shock and Vibration, 2018(1), 7278589.

[14] Sunca, K. Y., & Koçkanat, S. (2024). ÇİTA OPTİMİZASYON ALGORİTMASI KULLANARAK İVMEÖLÇER SİNYALLERİNİN HARMONİK ANALİZİ. Sivas Cumhuriyet Üniversitesi Mühendislik Fakültesi Dergisi, 2(2), 51-57.

[15] Zhao, W., Wang, L., & Mirjalili, S. (2022). Artificial hummingbird algorithm: A new bio-inspired optimizer with its engineering applications. Computer Methods in Applied Mechanics and Engineering, 388, 114194.

[16] Elaziz, M. A., Dahou, A., El-Sappagh, S., Mabrouk, A., & Gaber, M. M. (2022). AHA-AO: artificial hummingbird algorithm with Aquila optimization for efficient feature selection in medical image classification. Applied Sciences, 12(19), 9710.

[17] Koçkanat, S. (2019). Yarasa Algoritması Kullanarak Hidrolik Sarsma Tablası için İvme Harmonik Kestirimi. Avrupa Bilim ve Teknoloji Dergisi, (15), 387-393.

[18] Kockanat, S. (2019, April). Acceleration harmonic estimation using an approach based artificial bee colony algorithm: a hydraulic shaking table application. In 2019 27th Signal Processing and Communications Applications Conference (SIU) (pp. 1-4). IEEE.