Optimizing Aircraft Pitch Control Systems: A Novel Approach Integrating Artificial Rabbits Optimizer with PID-F Controller

(1) * Laith Abualigah Mail (1) Hourani Center for Applied Scientific Research, Al-Ahliyya Amman University, Amman, 19328, Jordan. 2) Computer Science Department, Al al-Bayt University, Mafraq, 25113, Jordan. 3) Artificial Intelligence and Sensing Technologies Research Center, University of Tabuk, Tabuk, 71491, Saudi Arabia. 4) MEU Research Unit, Middle East University, Amman, Jordan. 5) Department of Electrical and Computer Engineering, Lebanese American University, 13-5053, Byblos, Lebanon. 6) School of Computer Sciences, Universiti Sains Malaysia, 11800, Pulau Pinang, Malaysia. 7) School of Engineering and Technology, Sunway University Malaysia, 27500, Petaling Jaya, Malaysia. 8) Applied Science Research Center, Applied Science Private University, Amman, 11931, Jordan.)
(2) Davut Izci Mail (Batman University, Turkey)
(3) Serdar Ekinci Mail (Batman University, Turkey)
(4) Raed Abu Zitar Mail (Sorbonne University-Abu Dhabi, Turkey)
*corresponding author

Abstract


The precise control of aircraft pitch angles is critical in aviation for maintaining specific attitudes during flight, including straight and level flight, ascents, and descents. Traditional control strategies face challenges due to the non-linear and uncertain dynamics of flight. To address these issues, this study introduces a novel approach employing the artificial rabbits optimizer (ARO) for tuning a PID controller with a filtering mechanism (PID-F) in aircraft pitch control systems. This combination aims to enhance the stability and performance of the aircraft pitch control system by effectively mitigating the kick effect through the incorporation of a filter coefficient in the derivative gain. The study employs a time-domain-based objective function to guide the optimization process. Simulation results validate the stability and consistency of the proposed ARO/PID-F approach. Comparative analysis with various optimization algorithm-based controllers from the literature demonstrates the effectiveness of the proposed technique. Specifically, the ARO/PID-F controller exhibits a rapid response, zero overshoot, minimal settling time, and precise control during critical phases. The obtained results position the proposed methodology as a promising and innovative solution for optimizing aircraft pitch control systems, offering improved performance and reliability.

Keywords


Aircraft Pitch Control System, Artificial Rabbits Optimization, PID Controller with Filter, Controller Design

   

DOI

https://doi.org/10.31763/ijrcs.v4i1.1347
      

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References


[1] G. E. Ceballos Benavides, M. A. Duarte-Mermoud, M. E. Orchard, J. C. Travieso-Torres, “Pitch Angle Control of an Airplane Using Fractional Order Direct Model Reference Adaptive Controllers,” Fractal and Fractional, vol. 7, no. 4, p. 342, 2023, https://doi.org/10.3390/fractalfract7040342.

[2] S. A. Jalo, M. Ahmed, A. B. Abdulqadiri, M. U. Ilyasu, I. M. Inuwa, G. Elhassan, “A Study on Aircraft Pitch Control in Rejecting Disturbances,” International Seminar on Aeronautics and Energy, pp. 187–196, 2024, https://doi.org/10.1007/978-981-99-6874-9_15.

[3] D. Izci, “Design and application of an optimally tuned PID controller for DC motor speed regulation via a novel hybrid Lévy flight distribution and Nelder–Mead algorithm,” Transactions of the Institute of Measurement and Control, vol. 43, no. 14, pp. 3195–3211, 2021, https://doi.org/10.1177/01423312211019633.

[4] A. Khalid, K. Zeb and A. Haider, “Conventional PID, Adaptive PID, and Sliding Mode Controllers Design for Aircraft Pitch Control,” 2019 International Conference on Engineering and Emerging Technologies (ICEET), pp. 1-6, 2019, https://doi.org/10.1109/CEET1.2019.8711871.

[5] M. E. -S. M. Essa, M. Elsisi, M. Saleh Elsayed, M. Fawzy Ahmed, A. M. Elshafeey, “An Improvement of Model Predictive for Aircraft Longitudinal Flight Control Based on Intelligent Technique,” Mathematics, vol. 10, no. 19, p. 3510, 2022, https://doi.org/10.3390/math10193510.

[6] A. Idir, Y. Bensafia, K. Khettab, L. Canale, “Performance improvement of aircraft pitch angle control using a new reduced order fractionalized PID controller,” Asian Journal of Control, vol. 25, no. 4, pp. 2588–2603, 2022, https://doi.org/10.1002/asjc.3009.

[7] L. Wang, W. Jiang, Z. Wu, L. Zhao, Z. Jiao, “Modeling the Bio-Inspired Wing-Tail Interaction Mechanism and Applying It in Flapping Wing Aircraft Pitch Control,” IEEE Robotics and Automation Letters, vol. 8, no. 5, pp. 2914–2921, 2023, https://doi.org/10.1109/LRA.2023.3262178.

[8] M. Subramanian, P. Kokil, “Stabilisation of network-controlled aircraft pitch control system with time delay,” Transactions of the Institute of Measurement and Control, vol. 44, no. 13, pp. 2475–2484, 2022, https://doi.org/10.1177/01423312221083756.

[9] Vishal and J. Ohri, “GA tuned LQR and PID controller for aircraft pitch control,” 2014 IEEE 6th India International Conference on Power Electronics (IICPE), pp. 1-6, 2014, https://doi.org/10.1109/IICPE.2014.7115839.

[10] P. Kumar, S. Narayan, “Multi-objective bat algorithm tuned optimal FOPID controller for robust aircraft pitch control,” International Journal of Systems, Control and Communications, vol. 8, no. 4, pp. 348–362, 2017, https://doi.org/10.1504/IJSCC.2017.087127.

[11] S. A. Al-Hiddabi and N. H. McClamroch, “Tracking and maneuver regulation control for nonlinear nonminimum phase systems: application to flight control,” IEEE Transactions on Control Systems Technology, vol. 10, no. 6, pp. 780-792, 2002, https://doi.org/10.1109/TCST.2002.804120.

[12] A. Abdulla, “Aircraft Pitch Angle Control Using Pole Placement Approach Based on GA and ABC Optimization Techniques,” Przeglad Elektrotechniczny, pp. 81–85, 2022, https://doi.org/10.15199/48.2022.03.18.

[13] S. Lee, K. Kim, Y. Kim, “A Sliding Mode Control with Optimized Sliding Surface for Aircraft Pitch Axis Control System,” Transactions of the Japan Society for Aeronautical and Space Sciences, vol. 55, no. 22, pp. 94-98, 2012, https://doi.org/10.2322/tjsass.55.94.

[14] E. Ting, M. A. Ayoubi, “Optimized Fuzzy-Proportional/Integral/Derivative Controller for Aircraft Pitch Control,” Journal of Aerospace Information Systems, vol. 10, no. 8, pp. 414–429, https://doi.org/10.2514/1.I010053.

[15] I. N. Ibrahim and M. A. Al Akkad, “Exploiting an intelligent fuzzy-PID system in nonlinear aircraft pitch control,” 2016 International Siberian Conference on Control and Communications (SIBCON), pp. 1-7, 2016, https://doi.org/10.1109/SIBCON.2016.7491828.

[16] A. Idir, Y. Bensafia, L. Canale, “Influence of approximation methods on the design of the novel low-order fractionalized PID controller for aircraft system,” Journal of the Brazilian Society of Mechanical Sciences and Engineering, vol. 46, no. 98, pp. 1-16, 2024, https://doi.org/10.1007/s40430-023-04627-7.

[17] A. Ur Rehman, M. U. Khan, M. S. Shah, Q. Maqsood, M. F. Ullah and S. Uba, “Aircraft Pitch Control based on Genetic Algorithm Tuning with PID and LQR Controller,” 2021 6th International Multi-Topic ICT Conference (IMTIC), pp. 1-6, 2021, https://doi.org/10.1109/IMTIC53841.2021.9719736.

[18] D. Izci, S. Ekinci, A. Demirören and J. Hedley, “HHO Algorithm based PID Controller Design for Aircraft Pitch Angle Control System,” 2020 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA), pp. 1-6, 2020, https://doi.org/10.1109/HORA49412.2020.9152897.

[19] V. Kaçtı, S. Ekinci, D. İzci, “Henry Gaz Çözünürlük Optimizasyonu ile Uçak Eğim Kontrol Sistemi için Etkin Kontrolör Tasarımı,” DÜMF MD, vol. 11, no. 3, pp. 953–964, 2020, https://doi.org/10.24012/dumf.709449.

[20] C. S. Mohanty, P. S. Khuntia, D. Mitra, “Design of Stable Nonlinear Pitch Control System for a Jet Aircraft by Using Artificial Intelligence,” Proceedings of the National Academy of Sciences India Section A - Physical Sciences, vol. 89, pp. 57–66, 2019, https://doi.org/10.1007/s40010-017-0396-z.

[21] L. Wang, Q. Cao, Z. Zhang, S. Mirjalili, W. Zhao, “Artificial rabbits optimization: A new bio-inspired meta-heuristic algorithm for solving engineering optimization problems,” Engineering Applications of Artificial Intelligence, vol. 114, p. 105082, 2022, https://doi.org/10.1016/j.engappai.2022.105082.

[22] I. R. Khan et al., “An Automatic-Segmentation- and Hyper-Parameter-Optimization-Based Artificial Rabbits Algorithm for Leaf Disease Classification,” Biomimetics, vol. 8, no. 5, p. 438, 2023, https://doi.org/10.3390/biomimetics8050438.

[23] R. M. Rizk-Allah, S. Ekinci, D. Izci, “An improved artificial rabbits optimization for accurate and efficient infinite impulse response system identification,” Decision Analytics Journal, vol. 9, p. 100355, 2023, https://doi.org/10.1016/j.dajour.2023.100355.

[24] S. S. D. and S. Mohanty, “Artificial Rabbits Optimized Neural Network-Based Energy Management System for PV, Battery, and Supercapacitor Based Isolated DC Microgrid System,” IEEE Access, vol. 11, pp. 142411-142432, 2023, https://doi.org/10.1109/ACCESS.2023.3340856.

[25] D. Izci, R. M. Rizk-Allah, V. Snášel, S. Ekinci, F. A. Hashim, L. Abualigah, “A novel control scheme for automatic voltage regulator using novel modified artificial rabbits optimizer,” E-Prime - Advances in Electrical Engineering, Electronics and Energy, vol. 6, p. 100325, 2023, https://doi.org/10.1016/j.prime.2023.100325.

[26] M. Kharrich, M. H. Hassan, S. Kamel, J. Kim, “Designing an optimal hybrid microgrid system using a leader artificial rabbits optimization algorithm for domestic load in Guelmim city, Morocco,” Renewable Energy, vol. 223, p. 120011, 2024, https://doi.org/10.1016/j.renene.2024.120011.

[27] D. Izci, S. Ekinci, E. Eker, A. Demirören, “Multi-strategy modified INFO algorithm: Performance analysis and application to functional electrical stimulation system,” Journal of Computational Science, vol. 64, p. 101836, 2022, https://doi.org/10.1016/j.jocs.2022.101836.

[28] M. Ćalasan, M. Micev, M. Radulović, A. F. Zobaa, H. M. Hasanien, S. H. E. A. Aleem, “Optimal PID Controllers for AVR System Considering Excitation Voltage Limitations Using Hybrid Equilibrium Optimizer,” Machines, vol. 9, p. 265, 2021, https://doi.org/10.3390/machines9110265.

[29] A. K. Şahin, Ö. Akyazı, E. Sahin, O. Çakır, “Uçak eğim kontrol sistemi için ölüm oyunu optimizasyonuna dayalı PID-F denetleyicisi tasarımı,” Gümüşhane Üniversitesi Fen Bilimleri Dergisi, vol. 12, no. 2, pp. 539-549, 2022, https://doi.org/10.17714/gumusfenbil.1008563.

[30] S. Ekinci, D. Izci and M. Yilmaz, “Efficient Speed Control for DC Motors Using Novel Gazelle Simplex Optimizer,” IEEE Access, vol. 11, pp. 105830-105842, 2023, https://doi.org/10.1109/ACCESS.2023.3319596.

[31] E. Eker, S. Ekinci, D. İzci, “Optimal PID Controller Design for Liquid Level Tank via Modified Artificial Hummingbird Algorithm,” Computer Science, IDAP-2023: International Artificial Intelligence and Data Processing Symposium (IDAP-2023), pp. 37–43, 2023, https://doi.org/10.53070/bbd.1346269.

[32] S. Ekinci, H. Çetin, D. Izci, E. Köse, “A Novel Balanced Arithmetic Optimization Algorithm-Optimized Controller for Enhanced Voltage Regulation,” Mathematics, vol. 11, no. 23, p. 4810, 2023, https://doi.org/10.3390/math11234810.

[33] D. Izci, S. Ekinci, “Optimizing Three-Tank Liquid Level Control: Insights from Prairie Dog Optimization,” International Journal of Robotics and Control Systems, vol. 3, no. 3, pp. 599–608, 2023, https://doi.org/10.31763/ijrcs.v3i3.1116.

[34] S. Ekinci, D. Izci, R. Abu Zitar, A.R. Alsoud, L. Abualigah, “Development of Lévy flight-based reptile search algorithm with local search ability for power systems engineering design problems,” Neural Computing and Applications, vol. 34, pp. 20263–20283, 2022, https://doi.org/10.1007/s00521-022-07575-w.

[35] D. Izci, L. Abualigah, Ö. Can, C. Andiç, S. Ekinci, “Achieving improved stability for automatic voltage regulation with fractional-order PID plus double-derivative controller and mountain gazelle optimizer,” International Journal of Dynamics and Control, 2024, https://doi.org/10.1007/s40435-023-01381-5.

[36] D. Izci, S. Ekinci, “Fractional order controller design via gazelle optimizer for efficient speed regulation of micromotors,” E-Prime - Advances in Electrical Engineering, Electronics and Energy, vol. 6, p. 100295, 2023, https://doi.org/10.1016/j.prime.2023.100295.

[37] S. Ekinci, Ö. Can, D. Izci, “Controller design for automatic voltage regulator system using modified opposition-based weighted mean of vectors algorithm,” International Journal of Modelling and Simulation, pp. 1-18, 2023, https://doi.org/10.1080/02286203.2023.2274254.


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International Journal of Robotics and Control Systems
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