FRACTIONAL ORDER-BASED PID CONTROLLER DESIGN WITH GENETIC ALGORITHM (FOPID-GA) FOR AIRCRAFT LANDING GEAR SHOCK ABSORBER MECHANISM
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Anahtar Kelimeler
Destekleyen Kurum
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Etik Beyan
Kaynakça
- Abeygunawardhana, C., Sandamanl, K., & Pasindu, H. R., (2020). Identification of the impact of road roughness on speed patterns for different roadway segments. Moratuwa Engineering Research Conference (MERCon), 425-430.
- Aela, A.M., Kenne, J-P., & Mintsa, H.A., (2022). Adaptive neural network and nonlinear electrohydraulic active suspension control system. Journal of Vibration and Control,28, 243-259.
- Arora, M.K., Patel, M.R., &Titiksh, A., (2020). Pavement roughness conditions evaluation: A literature review. International Journal for Research in Applied Science and Engineering Technology. 8(X), 257-265.
- Emery, S., Hefer, A., & Horak, E., (2015). Roughness of Runways and Significance of Appropriate Specifications and Measurement. Proceedings of the 11th Conference. 16-19.
- Gao, J., & Li, H., (2023). Tuning Parameters of the Fractional Order PID-LQR Controller for Semi-Active Suspension. Electronics,19(12),4115.
- Hsiao, C. Y., & Wang, Y. H., (2022). Evaluation of ride comfort for active suspension system based on self-tuning fuzzy sliding mode control. International Journal of Control, Automation and Systems, 20(4),1131-1141.
- Hu, Y., Liu, J., Wang, Z., & Zhang, J., (2024). Research on Electric Oil-Pneumatic Active Suspension Based on Fractional-Order PID Position Control.Sensors,5(24), 1644.
- Huang, S. J., & Lin, W. C., (2003). Adaptive fuzzy controller with sliding surface for vehicle suspension control. IEEE transactions on fuzzy systems, 4(11),550-559.
Ayrıntılar
Birincil Dil
İngilizce
Konular
Otonom Araç Sistemleri
Bölüm
Araştırma Makalesi
Erken Görünüm Tarihi
6 Haziran 2024
Yayımlanma Tarihi
26 Haziran 2024
Gönderilme Tarihi
6 Mayıs 2024
Kabul Tarihi
27 Mayıs 2024
Yayımlandığı Sayı
Yıl 2024 Cilt: 23 Sayı: 45
Cited By
Enhancing Dynamic Control and Stability Assessment of Cessna 172 Aircraft with a PID Controller for New Pilot Trainees
International Journal of Aeronautical and Space Sciences
https://doi.org/10.1007/s42405-025-00899-6Adaptive Fuzzy Logic Control Framework for Aircraft Landing Gear Automation: Optimized Design, Real-Time Response, and Enhanced Safety
International Journal of Aeronautical and Space Sciences
https://doi.org/10.1007/s42405-025-00922-w
