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Email this article Performance Evaluation of Two System Models for a MIMO System to Hover the Bicopter Unmanned Aerial Vehicle
(1) National Research and Innovation Agency (BRIN) of Indonesia
(2) National Research and Innovation Agency (BRIN) of Indonesia
(3) National Research and Innovation Agency (BRIN) of Indonesia
(4) National Research and Innovation Agency (BRIN) of Indonesia
(5) University of Borobudur
Abstract
Building unmanned aerial vehicle (UAV) control system models are highly challenging due to multiple inputs and multiple outputs (MIMO). Not only does it have various angular position outputs such as roll, yaw, and pitch, but also flight control has more than one input; for instance, a bicopter has dual rotors. More rotors have more complex model. The hover condition has a zero resultant force which can be utilized to design a system model. On the other hand, an attractive identification system method is applied to develop the design. This research aims to evaluate the performance of two MIMO design on bicopter between methods based on the hover principle and identification technique. Experimental validation by employing bicopter simulator is an excellent strategy to fulfil this purpose. The results of the investigation of the experiment showed that the identification model was more accurate than the hover design, particularly regarding the overshot phenomenon and error. In addition, the hover principle tended to build ideal model because it did not include the dynamic, uncertainty and nonlinear conditions in aeroplane control design. Although the identification system was complicated because it previously needed to measure the input and output values, it performed closer to the actual experiment. It performed more satisfactory overshoot values compared with the experimental validation than the hover model by 1°, 3°, and 8° in roll, pitch, and yaw angles, respectively.
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R. M. Ariefianto, R. A. Aprilianto, H. Suryoatmojo, and S. Suwito, “Design and Implementation of Z-Source Inverter by Simple Boost Control Technique for Laboratory Scale Micro-Hydro Power Plant Application,” J. Tek. Elektro, vol. 13, no. 2, pp. 62–70, 2021.
F. Mohammadi et al., “Robust control strategies for microgrids: A review,” IEEE Syst. J., vol. 16, no. 2, pp. 2401–2412, 2022, doi: 10.1109/JSYST.2021.3077213.
A. Amini et al., “Learning robust control policies for end-to-end autonomous driving from data-driven simulation,” IEEE Robot. Autom. Lett., vol. 5, no. 2, pp. 1143–1150, 2020.
X. Yang and X. Zheng, “Adaptive nn backstepping control design for a 3-dof helicopter: Theory and experiments,” IEEE Trans. Ind. Electron., vol. 67, no. 5, pp. 3967–3979, 2019.
M. Benosman, “Model-based vs data-driven adaptive control: an overview,” Int. J. Adapt. Control Signal Process., vol. 32, no. 5, pp. 753–776, 2018.
L. Liu, S. Tian, D. Xue, T. Zhang, Y. Chen, and S. Zhang, “A review of industrial MIMO decoupling control,” Int. J. Control. Autom. Syst., vol. 17, no. 5, pp. 1246–1254, 2019.
Y. Yuan, D. Thomson, and R. Chen, “Propeller control strategy for coaxial compound helicopters,” Proc. Inst. Mech. Eng. Part G J. Aerosp. Eng., vol. 233, no. 10, pp. 3775–3789, 2019.
E. Apriaskar, F. Fahmizal, N. A. Salim, and D. Prastiyanto, “Performance Evaluation of Balancing Bicopter using P, PI, and PID Controller,” J. Tek. Elektro, vol. 11, no. 2, pp. 44–49, 2019.
Q. Zhang, Z. Liu, J. Zhao, and S. Zhang, “Modeling and attitude control of Bi-copter,” in 2016 IEEE International Conference on Aircraft Utility Systems (AUS), 2016, pp. 172–176.
J. A. Prakosa, E. Kurniawan, H. Adinanta, S. Suryadi, and M. I. Afandi, “Kajian Eksperimen Teknik Kontrol Penerbangan Posisi Tinggal Landas Drone Bikopter dengan Metode PID,” J. Otomasi Kontrol dan Instrumentasi, vol. 12, no. 2, pp. 1–8, 2020, doi: 10.5614/joki.2020.12.2.1.
D. Gesbert, M. Kountouris, R. W. Heath, C.-B. Chae, and T. Salzer, “Shifting the MIMO paradigm,” IEEE Signal Process. Mag., vol. 24, no. 5, pp. 36–46, 2007.
K. Kudelina, T. Vaimann, A. Rassõlkin, and A. Kallaste, “Impact of Bearing Faults on Vibration Level of BLDC Motor,” in IECON 2021--47th Annual Conference of the IEEE Industrial Electronics Society, 2021, pp. 1–6.
S. Enache, A. Campeanu, V. Ion, and M.-A. Enache, “Aspects Regarding Tests of Three-Phase Asynchronous Motors with Single-Phase Supply,” in 2019 16th Conference on Electrical Machines, Drives and Power Systems (ELMA), 2019, pp. 1–6.
I. N. Ikhsan and S. A. Akbar, “Aplikasi Machine Vision pada Hexacopter untuk Deteksi Survival Kits di Bidang Mitigasi Bencana,” J. Tek. Elektro, vol. 12, no. 2, pp. 72–79, 2020.
X. He and Y. Wang, “Design and Trajectory Tracking Control of a New Bi-Copter UAV,” IEEE Robot. Autom. Lett., vol. 7, no. 4, pp. 9191–9198, 2022.
N. Nithyavathy, S. A. Kumar, D. Rahul, B. S. Kumar, E. R. Shanthini, and C. Naveen, “Detection of fire prone environment using Thermal Sensing Drone,” in IOP Conference Series: Materials Science and Engineering, 2021, vol. 1055, no. 1, pp. 12006-12015.
K. Fathoni, A. P. Pratama, N. A. Salim, and V. N. Sulistyawan, “Implementasi Kendali Keseimbangan Gerak Two Wheels Self Balancing Robot Menggunakan Fuzzy Logic,” J. Tek. Elektro, vol. 13, no. 2, pp. 89–97, 2021.
S. T. Muntaha, S. A. Hassan, H. Jung, and M. S. Hossain, “Energy efficiency and hover time optimization in UAV-based HetNets,” IEEE Trans. Intell. Transp. Syst., vol. 22, no. 8, pp. 5103–5111, 2021, doi: 10.1109/TITS.2020.3015256.
J. A. Prakosa, E. Kurniawan, H. Adinanta, S. Suryadi, and P. Purwowibowo, “Experimental Based Identification Model of Low Fluid Flow Rate Control Systems,” in 2020 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications (ICRAMET), 2020, pp. 200–205.
U. M. Guzey, E. H. Copur, S. Ozcan, A. C. Arican, B. M. Kocagil, and M. U. Salamci, “Experiment of sliding mode control with nonlinear sliding surface design for a 3-DOF helicopter model,” in 2019 XXVII International Conference on Information, Communication and Automation Technologies (ICAT), 2019, pp. 1–6.
H. Miranda, P. Cortés, J. I. Yuz, and J. Rodr’iguez, “Predictive torque control of induction machines based on state-space models,” IEEE Trans. Ind. Electron., vol. 56, no. 6, pp. 1916–1924, 2009.
A. A. Ozdemir and S. Gumussoy, “Transfer function estimation in system identification toolbox via vector fitting,” IFAC-PapersOnLine, vol. 50, no. 1, pp. 6232–6237, 2017.
O. Loyola-Gonzalez, “Black-box vs. white-box: Understanding their advantages and weaknesses from a practical point of view,” IEEE Access, vol. 7, pp. 154096–154113, 2019.
J. A. Prakosa, S. Suryadi, E. Kurniawan, and H. Adinanta, “Kajian Identifikasi Model Eksperimen pada Kontrol Kecepatan Motor DC,” J. Otomasi Kontrol dan Instrumentasi, vol. 13, no. 1, pp. 27–35, 2021, doi: 10.5614/joki.2021.13.1.3.
C. H. B. Apribowo, H. Maghfiroh, and A. T. Laksita, “Design close-loop control of BLDC motor speed using PID method in solar power with matlab/simulink,” in AIP Conference Proceedings, 2020, vol. 2217, no. 1, p. 30137.
M. Jirgl, L. Obsilova, J. Boril, and R. Jalovecky, “Parameter identification for pilot behaviour model using the MATLAB system identification toolbox,” in 2017 International Conference on Military Technologies (ICMT), 2017, pp. 582–587.
D. Prastiyanto, E. Apriaskar, P. A. Handayani, R. Destanto, M. A. Malik, and A. E. Ramadhan, “Identification of microwave heating system with symmetrical octagonal tube cavity using ARX model,” in IOP Conference Series: Earth and Environmental Science, 2022, vol. 969, no. 1, pp. 12025-12033.
M. Arrofiq, E. Apriaskar, A. Mayub, and others, “Rigorous Modelling Steps on Roll Movement of Balancing Bicopter using Multi-level Periodic Perturbation Signals,” in 2019 6th International Conference on Instrumentation, Control, and Automation (ICA), 2019, pp. 52–57.
R. Szplet and D. Szymanowski Rafałand Sondej, “Measurement uncertainty of precise interpolating time counters,” IEEE Trans. Instrum. Meas., vol. 68, no. 11, pp. 4348–4356, 2019.
M. Nkemdirim, S. Dharan, H. Chaoui, and S. Miah, “LQR control of a 3-DOF helicopter system,” Int. J. Dyn. Control, vol. 10, no. 4, pp. 1084–1093, 2022.
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