FRACTIONAL ORDER-BASED PID CONTROLLER DESIGN WITH GENETIC ALGORITHM (FOPID-GA) FOR AIRCRAFT LANDING GEAR SHOCK ABSORBER MECHANISM

Year 2024, , 169 - 183, 26.06.2024

Idriss Dagal , Bilal Erol

https://doi.org/10.55071/ticaretfbd.1479499

Abstract

Deterioration conditions of the runway surface (deep track, cracking, raveling, and potholes ) and contaminants greatly affect the landing performance of the aircraft. In this research study, an optimal fractional order proportional integral and derivative controller (FOPID-GA) is designed with a genetic algorithm for the smooth operation of aircraft landing gear systems. To prove the effectiveness, performance, and accuracy of the proposed approach, a comparative study of the new technique and the traditional controllers such as PID, PID-TD, FOPID-TD, and PID-GA controllers was conducted on the MATLAB/Simulink platform. The simulation results clearly show that the proposed FOPID-GA controller outperforms the existing controllers in terms of performance, and damping accuracy. The effectiveness of the FOPID-GA controller is evaluated through simulation studies, demonstrating its potential to enhance aircraft landing gear performance and safety under adverse conditions.

Keywords

FOPID controller, landing, MATLAB/Simulink, runway, performance

Project Number

Fractional Order based PID Controller Design with Genetic Algorithm (FOPID-GA) for Aircraft Landing Gear Shock Absorber Mechanism

UÇAK İNİŞ TAKIMI AMORTİSÖR MEKANİZMASI İÇİN KESİR DERECELİ PID KONTROLÖRÜN GENETİK ALGORİTMA (FOPID-GA) İLE TASARIMI

Abstract

Hava araçlarına yönelik pist yüzlerinde meydana gelen bozulmalar (derin iz, çatlama, çökme ve çukurlar) ve kirletici yabancı maddeler uçağın iniş performansını büyük ölçüde etkiler. Bu çalışmada, uçak iniş takımı sistemlerinin sorunsuz çalışması için genetik algoritma kullanılarak, optimal kesirli dereceli oransal integral ve türev kontrolör (FOPID-GA) tasarlanmıştır. Önerilen yaklaşımın etkinliğini, performansını ve doğruluğunu göstermek amacıyla, PID, PID-TD, FOPID-TD ve PID-GA kontrolörleri gibi geleneksel kontrolörlerin MATLAB/Simulink platformu üzerinde karşılaştırmalı bir çalışması yapılmıştır. Simülasyon sonuçları, önerilen FOPID-GA denetleyicinin performans ve sönümleme doğruluğu açısından mevcut geleneksel kontrolörlerden daha iyi performans gösterdiğini açıkça göstermektedir. FOPID-GA kontrolörünün etkinliği simülasyon çalışmaları ile irdelenmiş, olumsuz koşullar altında uçak iniş takımı performansını ve güvenliğini artırma potansiyeli gösterilmiştir.

Keywords

FOPID kontrolörü, iniş, MATLAB/Simulink, performans, pist

Ethical Statement

No funding has been acknowledged for this work

Supporting Institution

Not applicable for this manuscript

Project Number

Fractional Order based PID Controller Design with Genetic Algorithm (FOPID-GA) for Aircraft Landing Gear Shock Absorber Mechanism

References

• 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.
• Jamal, M., Chaibi, R., Tissir, H., & Mohamed, O., (2021). Static output feedback stabilization of TS fuzzy active suspension systems. Journal of Terramechanics,97, 19-27.
• Kamaraddinovich, K.S., Azamat o’g’li, I.J., & Bekjonovich, T. M., (2022). Assessment of the roughness of road pavements. 6(97)-1, 137-140. Retrieved May 01, 2024 from https://cyberleninka.ru/article/n/assessment-of-the-roughness-of-road-pavements.
• Kumar, V., & Rana, K. P. S., (2023). A novel fuzzy PID controller for a nonlinear active suspension system with an electro-hydraulic actuator, Journal of the Brazilian Society of Mechanical Sciences and Engineering.4(45), 189.
• Lee, D., Jin, S., & Lee, C., (2022).Deep reinforcement learning of semi-active suspension controller for vehicle ride comfort. IEEE Transactions on Vehicular Technology,1(72),327-339.
• Li, G., Xu, H., Ruan, Z., &Liu, Q., (2024). Design and performance evaluation of a novel fractional order PID control strategy for vehicle semi-active suspension. Advances in Mechanical Engineering,4(16),16878132241241435.
• Loprencipe, G., Zoccali, P., & Cantisani, G., (2019a). Effects of vehicular speed on the assessment of pavement road roughness Applied Sciences,9,1783.
• Loprencipe G., Zoccali, P., (2019b). Comparison of methods for evaluating airport pavement roughness. International Journal of Pavement Engineering, 20,782-791.
• Loprencipe G., Zoccali, P., (2017). Ride quality due to road surface irregularities: Comparison of different methods applied on a set of real road profiles. MDPI,7(5), 59.
• Mahmoodabadi, M. J., & Nejadkourki, N., (2020). Optimal fuzzy adaptive robust PID control for an active suspension system. J. Mech. Eng., 20(3), 1-11.
• Munawwarah, S., & Yakub, F., (2021). Control analysis of vehicle ride comfort through integrated control devices on the quarter and half car active suspension systems. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 235(5),1256-1268.
• Nagarkar, M., Vikhe, G. J., Borole, K. R., & Nandedkar, V. M., (2011). Active control of quarter car suspension system using linear quadratic regulator. International Journal of Automotive and Mechanical Engineering. 3,364-372.
• Nie, Z. Y., Yi-Min, Z., Qing-Guo, W., & Rui-Juan, Li., (2020). Fractional-order PID controller design for time-delay systems based on modified Bode’s ideal transfer function. IEEE Access. 8,103500-103510.
• Provatas, V., & Ipsakis, D., (2023). Design and Simulation of a Feedback Controller for an Active Suspension System: A Simplified Approach. MPDI Processes. 11, 2715.
• Robert, J., Kumar, P. S., Nair, S. T., & Moni, D. H. S., (2022). Fuzzy control of active suspension system based on the quarter car model. Materials Today: Proceedings, 66, 902-908.
• Sandamal, K., & Pasindu, H.R., (2022). Applicability of smartphone-based roughness data for rural road pavement condition evaluation. International journal of pavement engineering. 23,663-672.
• Sivaprakasam, S., (2016). Active landing gear behavior on heavy landing. Journal of Chemical and Pharmaceutical Sciences. 9,34-39.
• Sivaprakasam, S., Selvakumaran, T., & Baskaran J., (2021). Investigation of random runway effect on landing of an aircraft with active landing gears using a nonlinear mathematical model. Journal of Vibro Engineering, 23, 1785-1799.
• Shutnan, W. A., & Abdalla, T.Y., (2018). Artificial Immune System based Optimal Fractional Order PID Control Scheme for Path Tracking of Robot manipulator. International Conference on Advances in Sustainable Engineering and Applications (ICASEA). 19-24.
• Tian, Y., Liu, S., Liu, E., & Xiang, P., (2021). Optimization of international roughness index model parameters for sustainable runway. Sustainability,13,2184.
• Thota, P., Krauskopf, B., & Lowenberg, MH., (2008). Shimmy in a nonlinear model of an aircraft nose landing gear with non-zero rake angle. EUROMECH Nonlinear Dynamics Conference, St. Petersburg, Russia.
• Yu, Q., Fang, Y., Wix, R., (2023). Evaluation framework for smartphone-based road roughness index estimation systems. International Journal of Pavement Engineering, 24(1),2183402.