Metaheuristic algorithm-based cascade PID controller design for fixed wing unmanned aerial vehicle

Metaheuristic algorithm-based cascade PID controller design for fixed wing unmanned aerial vehicle

In this study, the nonlinear model of the longitudinal motion and altitude of a fixed-wing unmanned aerial vehicle with assured geometrical features and aerodynamic parameters is linearized under certain conditions. A cascade Proportional Integral Differential Controller is designed on the linear model. The controller coefficients that applied to the model of the UAV were optimized with an artificial intelligence technique, which is based on a metaheuristic search algorithm. The four different controller gains in the system are optimized using four different objective functions. Controller performances were tested in simulation environment for unit step input responses., Considering the longitudinal dynamics of the aircraft, among the ITAE, ISE, MSE, and IAE fitness functions, IAE can be shown as the optimum result for altitude control.

___

  • Han, T., Xiao, B., Zhan, X. S., Wu, J., & Gao, H. (2019). Time-optimal control of multiple unmanned aerial vehicles with human control input. International Journal of Intelligent Computing and Cybernetics, 12(1), 138-152.
  • Alladi, T., Chamola, V., & Kumar, N. (2020). PARTH: A two-stage lightweight mutual authentication protocol for UAV surveillance networks. Computer Communications, 160, 81-90.
  • Xia, C., Yongtai, L., Liyuan, Y., & Lijie, Q. (2020). Cooperative task assignment and track planning for multi-UAV attack mobile targets. Journal of Intelligent & Robotic Systems, 100(3), 1383-1400.
  • Bilici, M., Karılı, M., (2022) Modeling and Control of a Fixed-Wing High-Speed UAV. International Journal of Aviation Science and Technology, 3(01), 35-44.
  • Altan, A. (2020, October). Performance of metaheuristic optimization algorithms based on swarm intelligence in attitude and altitude control of unmanned aerial vehicle for path following. In 2020 4th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT) (pp. 1-6). IEEE.
  • Ilango, H. S., & Ramanathan, R. (2020). A Performance Study of Bio-Inspired Algorithms in Autonomous Landing of Unmanned Aerial Vehicle. Procedia Computer Science, 171, 1449-1458.
  • Mobarez, E. N., Sarhan, A., & Ashry, M. M. (2019, December). Robust PID Flight Controller for Ultrastick-25e UAV. In 2019 15th International Computer Engineering Conference (ICENCO) (pp. 150-156). IEEE.
  • Kaba, A. (2021). Improved PID rate control of a quadrotor with a convexity-based surrogated model. Aircraft Engineering and Aerospace Technology. 93, 1287–1301.
  • Amarat, S. B., & Zong, P. (2019). 3D path planning, routing algorithms and routing protocols for unmanned air vehicles: a review. Aircraft engineering and aerospace technology.
  • Hervas, J. R., Reyhanoglu, M., Tang, H., & Kayacan, E. (2016). Nonlinear control of fixed-wing UAVs in presence of stochastic winds. Communications in Nonlinear Science and Numerical Simulation, 33, 57-69.
  • Stastny, T., & Siegwart, R. (2018, June). Nonlinear model predictive guidance for fixed-wing UAVs using identified control augmented dynamics. In 2018 International Conference on Unmanned Aircraft Systems (ICUAS) (pp. 432-442). IEEE.
  • Yan, J., Yu, Y., & Wang, X. (2022). Distance-based formation control for fixed-wing UAVs with input constraints: A low gain method. Drones, 6(7), 159.
  • Zhen, Y., Hao, M., & Sun, W. (2020, November). Deep reinforcement learning attitude control of fixed-wing UAVs. In 2020 3rd International Conference on Unmanned Systems (ICUS) (pp. 239-244). IEEE.
  • Poksawat, P., Wang, L., & Mohamed, A. (2017). Gain scheduled attitude control of fixed-wing UAV with automatic controller tuning. IEEE Transactions on Control Systems Technology, 26(4), 1192-1203.
  • Mammarella, M., Capello, E., Dabbene, F., & Guglieri, G. (2018). Sample-based SMPC for tracking control of fixed-wing UAV. IEEE control systems letters, 2(4), 611-616.
  • Abachizadeh, M., Yazdi, M. R. H., & Yousefi-Koma, A. (2010, July). Optimal tuning of PID controllers using artificial bee colony algorithm. In 2010 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (pp. 379-384). IEEE.
  • Coban, S., Bilgic, H.H., Akan, E. (2020). Improving autonomous performance of a passive morphing fixed wing UAV. Information Technology and Control. 49 (1), pp. 28-35.
  • McCafferty, J. P., Woodward, D. A., Ray, G., Bachelani, A., & Kim, B. (2014). Investigation of an autonomous landing sensor for unmanned aerial systems. In AIAA Guidance, Navigation, and Control Conference (p. 0979).
  • Bray, R. M. (1991). A wind tunnel study of the Pioneer remotely piloted vehicle. NAVAL POSTGRADUATE SCHOOL, MONTEREY CA.
  • Etkin, B., & Reid, L. D. (1995). Dynamics of flight: stability and control. John Wiley & Sons.
  • Johnson, M. A., & Moradi, M. H. (2005). PID control. London, UK: Springer-Verlag London Limited.
  • Kada, B., & Ghazzawi, Y. (2011, October). Robust PID controller design for an UAV flight control system. In Proceedings of the World congress on Engineering and Computer Science (Vol. 2, No. 1-6, pp. 1-6).
  • Andrade, F. A., Guedes, I. P., Carvalho, G. F., Zachi, A. R., Haddad, D. B., Almeida, L. F., ... & Pinto, M. F. (2021). Unmanned Aerial Vehicles Motion Control with Fuzzy Tuning of Cascaded-PID Gains. Machines, 10(1), 12.
  • Bilgiç, H. H., Tutumlu, M. S., & Conker, Ç. (2021). Top ve çubuk sistemi için kaskad denetleyici parametrelerinin meta-sezgisel algoritmalarla optimizasyonu. Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi, 23(67), 157-167.
  • Bilgic, H. H., Sen, M. A., Yapici, A., Yavuz, H., & Kalyoncu, M. (2021). Meta-heuristic tuning of the LQR weighting matrices using various objective functions on an experimental flexible arm under the effects of disturbance. Arabian Journal for Science and Engineering, 46(8), 7323-7336.
  • Guvenc, M. A., Bilgic, H. H., Cakir, M., & Mistikoglu, S. (2022). The prediction of surface roughness and tool vibration by using metaheuristic-based ANFIS during dry turning of Al alloy (AA6013). Journal of the Brazilian Society of Mechanical Sciences and Engineering, 44(10), 1-14.
  • Karaboga, D. (2005). An idea based on honey bee swarm for numerical optimization (Vol. 200, pp. 1-10). Technical report-tr06, Erciyes university, engineering faculty, computer engineering department.
  • Akay, B., & Karaboga, D. (2012). Artificial bee colony algorithm for large-scale problems and engineering design optimization. Journal of intelligent manufacturing, 23(4), 1001-1014.
  • Hekimoğlu, B. (2019). Optimal tuning of fractional order PID controller for DC motor speed control via chaotic atom search optimization algorithm. IEEE Access, 7, 38100-38114.
  • Shagor, M. R. K., Nishat, M. M., Faisal, F., Mithun, M. H., & Khan, M. A. (2021, December). Firefly algorithm based optimized PID controller for stability analysis of DC-DC SEPIC converter. In 2021 IEEE 12th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) (pp. 0957-0963). IEEE.
  • Maghfiroh, H., Saputro, J. S., Hermanu, C., Ibrahim, M. H., & Sujono, A. (2021, March). Performance Evaluation of Different Objective Function in PID Tuned by PSO in DC-Motor Speed Control. In IOP Conference Series: Materials Science and Engineering (Vol. 1096, No. 1, p. 012061). IOP Publishing.
European Mechanical Science-Cover
  • Yayın Aralığı: 4
  • Başlangıç: 2017
  • Yayıncı: Ahmet Çalık
Sayıdaki Diğer Makaleler

Investigation of alternative vehicle applications for reducing greenhouse gas emissions in urban public transport: The case of Adana province

Çağrı ÜN

Effect of nano hybrid additives on low velocity impact responses of aramid composite plates: example of CNT and ZrO2

Mehmet KAYRICI, Yusuf UZUN, Hüseyin ARIKAN, Ahmet KARAVELİOĞLU

Baby cry-sensitive armband design for parents with hearing loss

Kaan BALTACIOĞLU, Mustafa Tunahan BAŞAR, Volkan AKDOĞAN, Muharrem KARAASLAN, Emre Arda İLÇİGEN

Stress concentration factor based design curves for cylinder-cylinder connections in pressure vessels

Murat BOZKURT, David NASH

Structural and topology optimization of steel construction profiles in solar energy systems

Cengiz BAYRAM, Ercan KÖSE

Investigation of the velocity, mach number, and turbulent parameters for different projectile rear geometry

Mehmet Hanifi DOĞRU, İbrahim GÖV

Determination of effects of some alcohol blends on performance, emission, mechanical vibration and noise in diesel engines

Nurullah GÜLTEKİN, Halil Erdi GÜLCAN, Murat CİNİVİZ

Metaheuristic algorithm-based cascade PID controller design for fixed wing unmanned aerial vehicle

Mehmet DURMAZ, Kenan CİCİ, Muhammet SARIKAYA, Mesut BİLİCİ, Hasan Hüseyin BİLGİÇ

Single-pulse MIG welded Perform 700 steel joints with various welding parameters

Fatih ÖZEN

Investigating the biomechanics of the biceps brachii muscle during dumbbell curl exercise: A comprehensive approach

Hamid ASADİ DERESHGİ