(Department of Electrical and Communication,
University of Kufa, Iraq)(2) Ahmad T. Abdulsadda
(Al-Furat Al-Awsat Technical University, Iraq)*corresponding author
AbstractUnmanned Aerial Vehicles (UAVs) are widely used in transportation, delivery, surveillance and surveillance applications. The development of stable, resilient, and accurate flight based on turbulence and turbulence will likely become a key feature in the development of unique flight control systems. In this research, we studied the control system of a small Parrot mini drone, the Mambo drone, which was designed using the MATLAB program, while we added turbulence to the drone by changing the weight of the original plane in the design, where we increased the weight and calculated the vertical projection area of the propellers of the plane several times until we got the best space for the propellers able to carry more extra weight. We imposed an increase in the drone's weight due to bad conditions that the plane experienced during its flight, such as snow or dust falling on it. In order to make the aircraft bear these weather conditions without falling and colliding, we calculated an appropriate increase in the area of the aircraft wing, and we actually applied it in the MATLAB-R2021a Simulink program, and we got good results using simulation as well as in real-time inside the laboratory, turbulence was added in the simulation program. The new design of the propellers demonstrated the aircraft's ability to carry an additional payload of approximately one-third of the aircraft's weight, as shown in the roads chapter. In future work, we propose to use this design on larger aircraft with fixed propellers and to study the effects of other weather conditions on UAVs, such as the effect of temperature, humidity, and others.
KeywordsX-Y controller; Quadcopter; Matlab-Simulink; Altitude controller; Propellers
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DOIhttps://doi.org/10.31763/ijrcs.v3i2.933 |
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References
[1] J. Chaoraingern, V. Tipsuwanporn, and A. Numsomran, “Mini-drone quadrotor altitude control using characteristic ratio assignment PD tuning approach,” Lect. Notes Eng. Comput. Sci., pp. 337–341, 2019, https://www.iaeng.org/publication/WCECS2019/.
[2] T. V. Glazkov and A. E. Golubev, “Using Simulink Support Package for Parrot Minidrones in nonlinear control education,” In AIP Conference Proceedings, vol. 2195, no. 1, p. 020007, 2019, https://doi.org/10.1063/1.5140107.
[3] M. R. Kaplan, A. Eraslan, A. Beke, and T. Kumbasar, "Altitude and Position Control of Parrot Mambo Minidrone with PID and Fuzzy PID Controllers," 2019 11th International Conference on Electrical and Electronics Engineering (ELECO), pp. 785-789, 2019, https://doi.org/10.23919/ELECO47770.2019.8990445.
[4] W. Alqaisi, J. Ghommam, A. Alazzam, M. Saad, and V. Nerguizian, “Three-loop uncertainties compensator and sliding mode quadrotor control,” Computers & Electrical Engineering, vol. 81, p. 106507, 2020, https://doi.org/10.1016/j.compeleceng.2019.106507.
[5] S. Tselegkaridis and T. Sapounidis, “Simulators in educational robotics: A review,” Education Sciences, vol. 11, no. 1, p.11, 2021, https://doi.org/10.3390/educsci11010011.
[6] S. Waitman, H. Alwi, and C. Edwards, “Flight evaluation of simultaneous actuator/sensor fault reconstruction on a quadrotor minidrone,” IET Control Theory & Applications, vol. 15, no. 16, pp. 2095-2110, 2021, https://doi.org/10.1049/cth2.12180.
[7] R. Casado and A. Bermúdez, “A simulation framework for developing autonomous drone navigation systems,” Electronics, vol. 10, no. 1, p. 7, 2020, https://doi.org/10.3390/electronics10010007.
[8] J. Chaoraingern, V. Tipsuwanporn, and A. Numsomran, “Modified adaptive sliding mode control for trajectory tracking of mini-drone quadcopter unmanned aerial vehicle,” International Journal of Intelligent Engineering and Systems, vol. 13, no. 5, pp. 145-158, 2020, https://doi.org/10.22266/ijies2020.1031.14.
[9] E. H. Kadhim and A. T. Abdulsadda, “Mini Drone Linear and Nonlinear Controller System Design and Analyzing,” Journal of Robotics and Control (JRC), vol. 3, no. 2, pp. 212-218, 2022, https://doi.org/10.18196/jrc.v3i2.14180.
[10] “Drone Simulation and Control, Part 1: Setting Up the Control Problem - YouTube.” https://www.youtube.com/watch?v=hGcGPUqB67Q&list=PLy8TVa88QVfoOotVLloGWvK6PMSdjEtSb (accessed Feb. 01, 2022).
[11] C. B. Jabeur and H. Seddik, “Optimized neural networks-PID controller with wind rejection strategy for a Quad-Rotor,” Journal of Robotics and Control (JRC), vol. 3, no. 1, pp. 62-72, 2022, https://doi.org/10.18196/jrc.v3i1.11660.
[12] A. E. M. Redha, R. B. Abduljabbar, and M. S. Naghmash, Drone Altitude Control Using Proportional Integral Derivative Technique and Recycled Carbon Fiber Structure, In Proceedings of International Conference on Emerging Technologies and Intelligent Systems: ICETIS 2021 (Volume 1), vol. 299, pp. 55-67, 2022, https://doi.org/10.1007/978-3-030-82616-1_6.
[13] Q. H. Doan, S. Mai, Q. T. Do, and D. Thai, “A cluster-based data splitting method for small sample and class imbalance problems in impact damage classification,” Applied Soft Computing, vol. 120, p. 108628, 2022, https://doi.org/10.1016/j.asoc.2022.108628.
[14] P. Ceppi, “Model-based Design of a Line-tracking Algorithm for a Low-cost Mini Drone through Vision-based Control,” Diss. University of Illinois at Chicago, 2020, https://webthesis.biblio.polito.it/16018/.
[15] J. Yeom, J. Jung, A. Chang, M. Maeda, and J. Landivar, “Cotton growth modeling using unmanned aerial vehicle vegetation indices,” 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 5050-5052, 2017, https://doi.org/10.1109/IGARSS.2017.8128138.
[16] I. Iswanto, A. Ma’arif, O. Wahyunggoro, and A. Imam, “Artificial Potential Field Algorithm Implementation for Quadrotor Path Planning,” International Journal of Advanced Computer Science and Applications, vol. 10, no. 8, 2019, https://doi.org/10.14569/IJACSA.2019.0100876.
[17] M. Kok, J. D. Hol and T. B. Schon, “Using Inertial Sensors for Position and Orientation Estimation,” Foundations and Trends in Signal Processing, vol. 11, no. 1-2, pp 1-153, 2017, http://dx.doi.org/10.1561/2000000094.
[18] A. Shamshirgaran, H. Javidi and D. Simon, “Evolutionary Algorithms for Multi-Objective optimization of Drone Controller Parameters,” 2021 IEEE Conference on Control Technology and Applications (CCTA), 2021, pp. 1049-1055, 2021, https://doi.org/10.1109/CCTA48906.2021.9658828.
[19] S. Karaman and F. Riether, “Getting Started with MIT’s Rolling Spider MATLAB Toolbox,” An MIT Take-Home Lab for, vol. 16, 2016, pp. 1–31, 2015, https://fast.scripts.mit.edu/dronecontrol/wp-content/uploads/2016/05/GettingStarted.pdf.
[20] M. Idrissi, M. Salami, and F. Annaz, “A review of quadrotor unmanned aerial vehicles: applications, architectural design and control algorithms,” Journal of Intelligent & Robotic Systems, vol. 104, no. 2, p. 22, 2022, https://doi.org/10.1007/s10846-021-01527-7.
[21] M. Orsag, C. Korpela, P. Oh, and S. Bogdan, Aerial Manipulation. Springer Cham, 2018, https://doi.org/10.1007/978-3-319-61022-1.
[22] M. R. Kaplan, A. Eraslan, A. Beke, and T. Kumbasar, “Altitude and Position Control of Parrot Mambo Minidrone with PID and Fuzzy PID Controllers,” 2019 11th International Conference on Electrical and Electronics Engineering (ELECO), pp. 785-789, 2019, https://doi.org/10.23919/ELECO47770.2019.8990445.
[23] M. Okasha, J. Kralev, and M. Islam, “Design and Experimental Comparison of PID, LQR and MPC Stabilizing Controllers for Parrot Mambo Mini-Drone,” Aerospace, vol. 9, no. 6, p. 298, 2022, https://doi.org/10.3390/aerospace9060298.
[24] G. Delansnay and A. V. Wouwer, “Implementation and Tests of an INDI Control Strategy applied to the Parrot Mambo Minidrone,” 2022 International Conference on Unmanned Aircraft Systems (ICUAS), pp. 745-752, 2022, https://doi.org/10.1109/ICUAS54217.2022.9836222.
[25] M. Dragomir, V. -M. Maer, and L. Buşoniu, “The Co4AIR Marathon – A Matlab Simulated Drone Racing Competition,” 2022 International Conference on Unmanned Aircraft Systems (ICUAS), pp. 1219-1226, 2022, https://doi.org/10.1109/ICUAS54217.2022.9836233.
[26] S. Moon, J. J. Bird, S. Borenstein, and E. W. Frew, “A Gazebo/ROS-based Communication-Realistic Simulator for Networked sUAS,” 2020 International Conference on Unmanned Aircraft Systems (ICUAS), pp. 1819-1827, 2020, https://doi.org/10.1109/ICUAS48674.2020.9213892.
[27] A. Dutta, J. Wang, F. Kopsaftopoulos, and F. Gandhi, “Rotor Fault Detection and Identification on Multicopter based on Statistical Data-driven Methods: Experimental Assessment via Flight Tests,” 2022, https://doi.org/10.4050/F-0078-2022-17556.
[28] A. Noordin, M. A. M. Basri, and Z. Mohamed, “Position and Attitude Tracking of MAV Quadrotor Using SMC-Based Adaptive PID Controller,” Drones, vol. 6, no. 9, p. 263, 2022, https://doi.org/10.3390/drones6090263.
[29] J. A. Cárdenas, U. E. Carrero, E. C. Camacho, and J. M. Calderón, “Optimal PID ø axis Control for UAV Quadrotor based on Multi-Objective PSO,” IFAC-PapersOnLine, vol. 55, no. 14, pp. 101-106, 2022, https://doi.org/10.1016/j.ifacol.2022.07.590.
[30] L. Vile, H. Alwi, and C. Edwards, “Implementation of an Interpolated Model Reference Control Scheme,” 2022 16th International Workshop on Variable Structure Systems (VSS), pp. 35-40, 2022, https://doi.org/10.1109/VSS57184.2022.9902017.
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