Uçak eğim kontrol sistemi için ölüm oyunu optimizasyonuna dayalı PID-F denetleyicisi tasarımı

Yıl 2022, Cilt: 12 Sayı: 2, 539 - 549, 15.04.2022

Ali Kıvanç Şahin , Ömür Akyazı , Erdinc Sahın , Oğuzhan Çakır

https://doi.org/10.17714/gumusfenbil.1008563

Öz

Bu makalede uçak eğim kontrol (UEK) sistemi için daha iyi bir dinamik ve kararlı sistem tepkisi elde edebilmek amacıyla PID-F denetleyicisi önerilmiştir Önerilen PID-F denetleyicisinde (kp) kazancı ile P oransal etkiyi, (ki) kazancı ile I integral etkiyi, (kd) kazancı ile D türev etkisini ve (kf) kazancı ile F türev filtresini temsil etmektedir. Birbirinden bağımsız parametreler olan kp, ki, kd ve kf ’nin en uygun değerlerini bulmak için ölüm oyunu optimizasyonu (BRO) algoritmasından yararlanılmıştır. BRO tabanlı PID-F denetleyicinin performansı BRO tabanlı PID denetleyicisiyle karşılaştırma yapılarak doğrulanmıştır. Ayrıca daha kapsamlı performans değerlendirmesi yapabilmek için BRO tabanlı PID-F denetleyicisi literatürde daha önceden aynı UEK sistemi için önerilen harris şahinleri optimizasyonu (HHO) ve atom arama optimizasyonu (ASO) kullanarak tasarlanan PID denetleyicileriyle karşılaştırılması yapılmıştır. Bu karşılaştırma için geçici tepki, frekans tepkisi ve kutup-sıfır analizlerinden yararlanılmıştır. Karşılaştırmadan elde edilen sonuçlara göre önerilen BRO/PID-F denetleyicisinin diğer denetleyicilere göre UEK sisteminin geçici ve frekans tepkilerini iyileştirme açısından daha üstün olduğunu göstermektedir.

Anahtar Kelimeler

Ölüm oyunu optimizasyonu algoritması (BRO), PID-F denetleyicisi, Uçak eğim kontrol (UEK) sistemi

PID-F controller design based on battle royale optimization for aircraft pitch control

Öz

In this article, PID-F controller is proposed for aircraft pitch control (APC) system in order to obtain a better dynamic system response. PID-F controller represents P proportional action with gain (kp), I integral action with gain (ki), D derivative action with gain (kd) and F derivative filter with gain (kf). Battle royale optimization (BRO) algorithm is used to find the optimal values of the independent parameters kp, ki, kd and kf. The performance of the BRO based PID-F controller has been verified by comparing with the BRO based PID controller. In addition, in order to make a more comprehensive performance evaluation, the BRO based PID-F controller is compared to the PID controllers existing in the literature for the same aircraft pitch control system, designed using harris hawks optimization (HHO) and atom search optimization (ASO). Transient response, frequency response and pole-zero analyses are used for comparative analysis. The results obtained from the simulations show that the proposed BRO/PID-F controller is superior to other controllers in terms of improving the transient and frequency responses of the APC system.

Anahtar Kelimeler

Battle royale optimization algorithm (BRO), PID-F controller, Aircraft pitch control (APC) system

Kaynakça

• Aditya, Chowdhury., & Vishnu, G. N. (2017). Optimization of PID controller gains of an aircraft pitch control system using particle swarm optimization algorithm. International Journal of Mechanical and Production Engineering Research and Development, 7(6), 223-230. https://doi.org/10.24247/ijmperddec201724
• Altintaş, G., & Aydin, Y. (2016). Comparison of fractional and integer order PID controllers on aircraft model using genetic algorithm. In 2016 National Conference on Electrical, Electronics and Biomedical Engineering (ELECO), 242-246.
• Ayas, M. S., & Sahin, E. (2021). FOPID controller with fractional filter for an automatic voltage regulator. Computers & Electrical Engineering, 90, 106895. https://doi.org/10.1016/j.compeleceng.2020.106895
• Control tutorials for MATLAB and Simulink-.(n.d.). https://ctms.engin.umich.edu/CTMS/index.php?example=AircraftPitch
• Du, H., Hu, X., Ma, C., & Zhang, G. (2017). Numerical PI tuning method and its application in aircraft pitch control. 2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA). https://doi.org/10.1109/iciea.2017.8283034
• Gaing, Z. (2004). A particle swarm optimization approach for optimum design of PID controller in AVR system. IEEE Transactions on Energy Conversion, 19(2), 384-391. https://doi.org/10.1109/tec.2003.821821
• Izci, D., Ekinci, S., Demiroren, A., & Hedley, J. (2020). HHO algorithm based PID controller design for aircraft pitch angle control system. 2020 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA). https://doi.org/10.1109/hora49412.2020.9152897
• Izci, D., Ekinci, S., Zeynelgil, H. L., & Hedley, J. (2021). Performance evaluation of a novel improved slime mould algorithm for direct current motor and automatic voltage regulator systems. Transactions of the Institute of Measurement and Control, 44(2), 435-456. https://doi.org/10.1177/01423312211037967
• Kaçtı, V., Ekinci, S., & Izci, D. (2020). Henry gaz çözünürlük optimizasyonu ile uçak eğim kontrol sistemi için etkin kontrolör tasarımı. DÜMF Mühendislik Dergisi. https://doi.org/10.24012/dumf.709449
• Khalid, A., Zeb, K., & Haider, A. (2019). Conventional PID, adaptive PID, and sliding mode controllers design for aircraft pitch control. 2019 International Conference on Engineering and Emerging Technologies (ICEET). https://doi.org/10.1109/ceet1.2019.8711871
• Radhakrishnan, C., & Swarup, A. (2020). Performance comparison for fuzzy based aircraft pitch using various control methods. 2020 Second International Conference on Inventive Research in Computing Applications (ICIRCA). https://doi.org/10.1109/icirca48905.2020.9183199
• Rahkar Farshi, T. (2020). Battle Royale optimization algorithm. Neural Computing and Applications, 33(4), 1139-1157. https://doi.org/10.1007/s00521-020-05004-4
• Sahin, A. K., Tas, T., Bertug, E., & Ayas, M. S. (2021). Metaheuristic algorithm based PI controller design for Linearized quadruple-tank process. 2021 3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA). https://doi.org/10.1109/hora52670.2021.9461399
• Sayar, E., & Ertunç, H. M. (2018). Fuzzy logic controller and PID controller design for aircraft pitch control. EuCoMeS 2018, 53-60. https://doi.org/10.1007/978-3-319-98020-1_7
• Şahin, A. K., Akgül, T., & Çakır, O. (2021). Battle royale optimization based PID controller design for vehicle cruise control system. In 5th International Conference on Advances in Natural adn Applied Science, 181-191.
• Şahin, E. (2019). Design of a PID controller with fractional order derivative filter for automatic voltage regulation in power systems. 4th International Symposium on Innovative Approaches in Engineering and Natural Sciences Proceedings. https://doi.org/10.36287/setsci.4.6.013
• Vishal, & Ohri, J. (2014). Ga tuned LQR and PID controller for Aircraft Pitch Control. 2014 IEEE 6th India International Conference on Power Electronics (IICPE). https://doi.org/10.1109/iicpe.2014.7115839 Wahid, N., & Rahmat, M. F. (2010). Pitch control system using LQR and fuzzy logic controller. 2010 IEEE Symposium on Industrial Electronics and Applications (ISIEA). https://doi.org/10.1109/isiea.2010.5679436
• Yıldırım, Ş., & Savaş, S. (2009). PID denetim organı kullanarak uçaklarda kalkış ve iniş halinde yunuslama (Pitch) açısı kontrolü. Erciyes Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 25(1).
• Zaeri, R., Ghanbarzadeh, A., Attaran, B., & Zaeri, Z. (2011). Fuzzy logic controller based pitch control of aircraft tuned with bees algorithm. The 2nd International Conference on Control, Instrumentation and Automation. https://doi.org/10.1109/icciautom.2011.6356745