Abstract
Flight stabilization control of UAVs (Unmanned Aerial Vehicles) quadrotors covers several areas of engineering knowledge, such as mechanics, electronics and computing. The aim of this work is the development of different controllers for such stabilization. Two controllers, a PID and a LQR, were developed and evaluated in order to establish a comparison between the results obtained for each one and to determine which one is the most efficient. For such development, a mathematical model of the UAV in question was obtained in order to enable the design of the controllers. The model parameters are from a real quadrotor that was built to validate the mathematical model and the efficiency of the designed controllers. The prototype was designed to have sufficient flight autonomy to carry out the tests, mechanical resistance to all conditions that can be exposed during the flight, such as wind and vibrations, and be controllable. In order to validate the efficiency of the developed controllers, simulations and tests were applied to the prototype attached to a gyroscopic test structure. To perform the simulations, the plant to be controlled was the model previously obtained. Nevertheless, the experimental tests applied to the prototype, on the other hand, suffered non modelled phenomena such as inertia coupling of the test structure and nonlinearities. The results showed that all the designed controllers are capable of stabilizing the flight of the quadrotor.
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References
Alves ASC (2012) Estudos e Aplicação de Técnicas de Controle Embarcadas para Estabilização de Voo de Quadrirrotores, 121 f. Tese (Doutorado em Engenharia Elétrica) – Universidade Federal de Juiz de Fora
Åström KJ, Murray RM (2009) Feedback systems, 2th edn.
Beard RW (2008) Quadrotor dynamics and control
Elbasueny B, El-Sebah MIA, Shaaban S (2019) Dynamic modelling and control of quadrotor's attitude around its hover position. In: 6th international conference on advanced control circuits and systems (ACCS) and 5th international conference on new paradigms in electronics and information technology (PEIT). Egypt
Gao Q, Du M, Ji Y (2017) The controller design of quadrotor UAV based on internal model control. In: 36th Chinese control conference
Karahan M, Kasnakoglu C (2019) Modeling and simulation of quadrotor UAV Using PID controller. In: 11th international conference on electronics, computers and artificial intelligence (ECAI). Romania
Kiyashko MA, Sholmov AK, Efremov AA (2017) Quadrotor mathematical and information model analysis. In: IEEE conference of russian young researchers in electrical and electronic engineering (EIConRus). Russia
Lima G, Souza R, Lopes L, Ladeira G (2019) Stabilization and path tracking of a mini quadrotor helicopter: experimental results. IEEE Latin Am Trans
Mahony R, Kumar V, Corke P (2012) Multirotor Aerial vehicles: modeling, estimation, and control of quadrotor. IEEE Robot Autom Mag
Ogata K (2011) Engenharia de Controle Moderno, 5th edn
Okyere E, Bousbaine A, Poyi GT, Joseph AK, Andrade JM (2019) LQR controller design for quad-rotor helicopters. J Eng 2019
Oral E, Çetin L, Uyar E (2010) A novel method on selection of q and r matrices in the theory of optimal control. Int J Syst Control
Santana PHRQ, Borges GA (2009) Modelagem e controle de quadrirrotores, Brasília
Starr GP (2006) Introduction to applied digital control
Acknowledgements
The authors would like to thank Coordenação de Aperfeiçoamento de Pessoal de Nível Superior—Brasil (CAPES)—Finance Code 001.
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Lima, F.M.B., Bueno, Á.M., Silva, P.S. (2021). Modeling, Construction and Control of Quadrotors. In: Balthazar, J.M. (eds) Vibration Engineering and Technology of Machinery. Mechanisms and Machine Science, vol 95. Springer, Cham. https://doi.org/10.1007/978-3-030-60694-7_16
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DOI: https://doi.org/10.1007/978-3-030-60694-7_16
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