Volume 14, Issue 3 (Journal of Control, V.14, N.3 Fall 2020)                   JoC 2020, 14(3): 43-51 | Back to browse issues page

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Nekoukar V, Mahdian Dehkordi N. Fuzzy Adaptive Control of Unmanned Aerial Vehicle for Carrying Time-Varying Cargo on Predefined Path. JoC 2020; 14 (3) :43-51
URL: http://joc.kntu.ac.ir/article-1-649-en.html
1- Shahid Rajaee Teacher Training University
Abstract:   (5919 Views)
At present, the use of unmanned aerial vehicles (UAVs) has been increased dramatically. The reasons for this development are cheapness, smallness, simplicity, and diversity of missions. The simplicity of guidance and control of multi-rotor drones is that they are equipped with an autopilot system. This system is responsible for flying control. UAVs do not have a high weight and often have three-phase high-speed motors which makes a fast and complex flight dynamics. In this paper, a fuzzy adaptive PID controller is applied to control an UAV for carrying a time-varying cargo. The performance of the flight control system implemented on a quadrotor is evaluated, experimentally. A sandbox is used to model the time-varying mass. The sand passes from the beginning of the fly through some holes of the box, and after about a minute all the sand is poured. At the end of the paper, the practical results are compared with results obtained by fixed-parameter PID controller.
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Type of Article: Research paper | Subject: Special
Received: 2019/02/16 | Accepted: 2019/07/3 | ePublished ahead of print: 2019/08/15 | Published: 2020/12/12

1. H. Shakhatreh et al., "Unmanned Aerial Vehicles: A Survey on Civil Applications and Key Research Challenges," arXiv preprint arXiv:.00881, 2018.
2. J. Ajmera and V. Sankaranarayanan, "Point-to-point control of a quadrotor: Theory and experiment," IFAC-PapersOnLine, vol. 49, no. 1, pp. 401-406, 2016. [DOI:10.1016/j.ifacol.2016.03.087]
3. S. Bouabdallah, A. Noth, and R. Siegwart, "PID vs LQ control techniques applied to an indoor micro quadrotor," in Proc. of The IEEE International Conference on Intelligent Robots and Systems (IROS), 2004, pp. 2451-2456.
4. V. M. Babu, K. Das, and S. Kumar, "Designing of self tuning PID controller for AR drone quadrotor," in Advanced Robotics (ICAR), 2017 18th International Conference on, 2017, pp. 167-172. [DOI:10.1109/ICAR.2017.8023513]
5. A. S. Fahmizal, M. Budiyanto, and M. Arrofiq, "Altitude control of quadrotor using fuzzy self-tuning PID controller," in Int. Conf. on Instrumentation, Control, and Automation, 2017, pp. 67-72. [DOI:10.1109/ICA.2017.8068415]
6. G. Antonelli, E. Cataldi, F. Arrichiello, P. R. Giordano, S. Chiaverini, and A. Franchi, "Adaptive trajectory tracking for quadrotor MAVs in presence of parameter uncertainties and external disturbances," IEEE Transactions on Control Systems Technology, vol. 26, no. 1, pp. 248-254, 2018. [DOI:10.1109/TCST.2017.2650679]
7. Z. T. Dydek, A. M. Annaswamy, and E. Lavretsky, "Adaptive control of quadrotor UAVs: A design trade study with flight evaluations," IEEE Transactions on Control Systems Technology, vol. 21, no. 4, pp. 1400-1406, 2013. [DOI:10.1109/TCST.2012.2200104]
8. M. Huang, B. Xian, C. Diao, K. Yang, and Y. Feng, "Adaptive tracking control of underactuated quadrotor unmanned aerial vehicles via backstepping," in American Control Conference (ACC), 2010, 2010, pp. 2076-2081. [DOI:10.1109/ACC.2010.5531424]
9. D. Lee, H. J. Kim, and S. Sastry, "Feedback linearization vs. adaptive sliding mode control for a quadrotor helicopter," International Journal of Control, Automation and Systems, vol. 7, no. 3, pp. 419-428, 2009. [DOI:10.1007/s12555-009-0311-8]
10. W. Lei, C. Li, and M. Z. Chen, "Robust Adaptive Tracking Control for Quadrotors by Combining PI and Self-Tuning Regulator," IEEE Transactions on Control Systems Technology, 2018. [DOI:10.1109/TCST.2018.2872462]
11. W. Li and J. Wang, "Effective adaptive Kalman filter for MEMS-IMU/magnetometers integrated attitude and heading reference systems," The Journal of Navigation, vol. 66, no. 1, pp. 99-113, 2013. [DOI:10.1017/S0373463312000331]
12. O. Mofid and S. Mobayen, "Adaptive sliding mode control for finite-time stability of quad-rotor UAVs with parametric uncertainties," ISA transactions, vol. 72, pp. 1-14, 2018. [DOI:10.1016/j.isatra.2017.11.010]
13. C. Nicol, C. Macnab, and A. Ramirez-Serrano, "Robust adaptive control of a quadrotor helicopter," Mechatronics, vol. 21, no. 6, pp. 927-938, 2011. [DOI:10.1016/j.mechatronics.2011.02.007]
14. T.-T. Tran, S. S. Ge, and W. He, "Adaptive control of a quadrotor aerial vehicle with input constraints and uncertain parameters," International Journal of Control, vol. 91, no. 5, pp. 1140-1160, 2018. [DOI:10.1080/00207179.2017.1309572]
15. س. ج. طالبیان و ج. ح. نوبری، "طراحی الگوریتم هدایت افقی یک پرنده بدون سرنشین جهت پیمودن بهینه پایه‌های مسیر،" مجله کنترل، دوره 8، شماره 2، صفحه 47-85، 1393.
16. ن. ا. قهرماني و م. نظري، " طراحي كنترل بهينه و مقيد يك جسم پرنده با رويكرد كنترل پيش‌بين و پياده‌سازي آن در آزمايشگاه سخت افزار در حلقه،" فصل‌نامه مکانیک هوافضا، شماره 3، صفحه 79-92، 1398.
17. ا. ل. يانسي، م. ع. ا. آتشگاه و ا. كلهر، " كنترلگر ردياب مسير براي يك ربات پرنده چهارپره با رويكرد جايابي قطب‌هاي معادلات ديناميكي خطا برمبناي تحقق ديفومورفيزم،" مجله مهندسی مکانیک، دوره 49، شماره 1، صفحه 269-277، 1398.
18. P. Zhang, J. Gu, E. E. Milios, and P. Huynh, "Navigation with IMU/GPS/digital compass with unscented Kalman filter," in Mechatronics and Automation, 2005 IEEE International Conference, 2005, vol. 3, pp. 1497-1502.

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