Volume 14, Issue 3 (Journal of Control, V.14, N.3 Fall 2020)                   JoC 2020, 14(3): 63-74 | Back to browse issues page


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Eskandarpour A, Dehghan S M, Karimi J. Designing a predictive guidance and control system for maneuverable ground moving target tracking in 3D space using a Hexarotor. JoC. 2020; 14 (3) :63-74
URL: http://joc.kntu.ac.ir/article-1-625-en.html
1- Tarbiat Modares University
2- Malek-Ashtar University of Technology
Abstract:   (5715 Views)
In this paper, the continuity of tracking a ground moving target using a Hexarotor is considered in the presence of sudden changes in direction, deceptive movements, temporary departure from the field of view (FOV) and changes in the height of the target. In this regard, a hierarchical guidance and control system for target tracking problem in an unknown environment and disturbances is proposed. In the inner loop, a constrained model predictive controller is designed to eliminate the environmental disturbances and also to ensure the stability against the rapid movement of the target considering the constraints on the dynamic of the Hexarotor. In the outer loop of the controller, the ability of the Hexarotor in changing its height helps the Hexarotor to preserve the ground moving target despite the sudden changes in the target direction and its temporal exitance from the field of view. Also, the controller provides an optimized control effort in a situation where the target attempts to reduce the energy level and endurance of the Hexarotor. In order to ensure the performance of the proposed system, the stability of the closed-loop system is guaranteed by defining a final state penalty function. The simulation results show the effectiveness of the proposed controller in ground moving target tracking in the presence of the environmental disturbances, the variation of the target altitude, and the deceptive movement of the target.
Full-Text [PDF 1686 kb]   (421 Downloads)    
Type of Article: Research paper | Subject: Special
Received: 2018/10/22 | Accepted: 2019/01/7 | ePublished ahead of print: 2019/08/15 | Published: 2020/12/12

References
1. J. E. Gomez-Balderas, G. Flores, L. R. G. Carrillo, and R. Lozano, "Tracking a Ground Moving Target with a Quadrotor Using Switching Control," J. Intell. Robot. Syst., vol. 70, no. 1-4, pp. 65-78, Apr. 2013. [DOI:10.1007/s10846-012-9747-9]
2. S. Bertrand, N. Guénard, T. Hamel, H. Piet-Lahanier, and L. Eck, "A hierarchical controller for miniature VTOL UAVs: Design and stability analysis using singular perturbation theory," Control Eng. Pract., vol. 19, no. 10, pp. 1099-1108, Oct. 2011. [DOI:10.1016/j.conengprac.2011.05.008]
3. H. Liu, Y. Bai, G. Lu, Z. Shi, and Y. Zhong, "Robust Tracking Control of a Quadrotor Helicopter," J. Intell. Robot. Syst., vol. 75, no. 3-4, pp. 595-608, Sep. 2014. [DOI:10.1007/s10846-013-9838-2]
4. D. Zhang, H. Qi, X. Wu, Y. Xie, and J. Xu, "The Quadrotor Dynamic Modeling and Indoor Target Tracking Control Method," Mathematical Problems in Engineering, 2014. [DOI:10.1155/2014/637034]
5. P. Castillo, A. Dzul, and R. Lozano, "Real-time stabilization and tracking of a four-rotor mini rotorcraft," IEEE Trans. Control Syst. Technol., vol. 12, no. 4, pp. 510-516, Jul. 2004. [DOI:10.1109/TCST.2004.825052]
6. C. K. Tan, J. Wang, Y. C. Paw, and T. Y. Ng, "Tracking of a moving ground target by a quadrotor using a backstepping approach based on a full state cascaded dynamics," Appl. Soft Comput., vol. 47, pp. 47-62, Oct. 2016. [DOI:10.1016/j.asoc.2016.04.007]
7. T. Madani and A. Benallegue, "Backstepping Sliding Mode Control Applied to a Miniature Quadrotor Flying Robot," in IECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics, 2006, pp. 700-705. [DOI:10.1109/IECON.2006.347236]
8. T. Madani and A. Benallegue, "Control of a Quadrotor Mini-Helicopter via Full State Backstepping Technique," in Proceedings of the 45th IEEE Conference on Decision and Control, 2006, pp. 1515-1520. [DOI:10.1109/CDC.2006.377548]
9. S.-O. Lee, Y.-J. Cho, M. Hwang-Bo, B.-J. You, and S.-R. Oh, "A stable target-tracking control for unicycle mobile robots," in Proceedings. 2000 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2000) (Cat. No.00CH37113), 2000, vol. 3, pp. 1822-1827 vol.3.
10. D. R. Nelson, D. B. Barber, T. W. McLain, and R. W. Beard, "Vector Field Path Following for Miniature Air Vehicles," IEEE Trans. Robot., vol. 23, no. 3, pp. 519-529, Jun. 2007. [DOI:10.1109/TRO.2007.898976]
11. K. Hausman, J. Müller, A. Hariharan, N. Ayanian, and G. S. Sukhatme, "Cooperative multi-robot control for target tracking with onboard sensing," Int. J. Robot. Res., vol. 34, no. 13, pp. 1660-1677, Nov. 2015. [DOI:10.1177/0278364915602321]
12. P. Yao, H. Wang, and Z. Su, "Cooperative path planning with applications to target tracking and obstacle avoidance for multi-UAVs," Aerosp. Sci. Technol., vol. 54, pp. 10-22, Jul. 2016. [DOI:10.1016/j.ast.2016.04.002]
13. S. S. Baek, H. Kwon, J. A. Yoder, and D. Pack, "Optimal path planning of a target-following fixed-wing UAV using sequential decision processes," in 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013, pp. 2955-2962. [DOI:10.1109/IROS.2013.6696775]
14. C. Prévost, O. Thériault, A. Desbiens, É. Poulin, and E. Gagnon, "Receding Horizon Model-Based Predictive Control for Dynamic Target Tracking: a Comparative Study," in AIAA Guidance, Navigation, and Control Conference, American Institute of Aeronautics and Astronautics.
15. J. Chen, T. Liu, and S. Shen, "Tracking a moving target in cluttered environments using a quadrotor," in 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2016, pp. 446-453. [DOI:10.1109/IROS.2016.7759092]
16. T. Templeton, D. H. Shim, C. Geyer, and S. S. Sastry, "Autonomous Vision-based Landing and Terrain Mapping Using an MPC-controlled Unmanned Rotorcraft," in Proceedings 2007 IEEE International Conference on Robotics and Automation, 2007, pp. 1349-1356. [DOI:10.1109/ROBOT.2007.363172]
17. G. V. Raffo, M. G. Ortega, and F. R. Rubio, "An integral predictive/nonlinear control structure for a quadrotor helicopter," Automatica, vol. 46, no. 1, pp. 29-39, Jan. 2010.
18. K. Alexis, G. Nikolakopoulos, and A. Tzes, "Model predictive quadrotor control: attitude, altitude and position experimental studies," IET Control Theory Amp Appl., vol. 6, no. 12, pp. 1812-1827, Aug. 2012. [DOI:10.1049/iet-cta.2011.0348]
19. P. Yao, H. Wang, and H. Ji, "Multi-UAVs tracking target in urban environment by model predictive control and Improved Grey Wolf Optimizer," Aerospace Science and Technology, vol. 55, pp. 131-143, Aug. 2016. [DOI:10.1016/j.ast.2016.05.016]
20. P. Yao, H. Wang, and Z. Su, "Cooperative path planning with applications to target tracking and obstacle avoidance for multi-UAVs," Aerospace Science and Technology, vol. 54, pp. 10-22, Jul. 2016. [DOI:10.1016/j.ast.2016.04.002]
21. J. Wu et al., "Distributed trajectory optimization for multiple solar-powered UAVs target tracking in urban environment by Adaptive Grasshopper Optimization Algorithm," Aerospace Science and Technology, vol. 70, pp. 497-510, Nov. 2017. [DOI:10.1016/j.ast.2017.08.037]
22. P. Yao, H. Wang, and Z. Su, "Real-time path planning of unmanned aerial vehicle for target tracking and obstacle avoidance in complex dynamic environment," Aerospace Science and Technology, vol. 47, pp. 269-279, Dec. 2015. [DOI:10.1016/j.ast.2015.09.037]
23. M. Moussid, A. Sayouti, and H. Medromi, "Dynamic Modeling and Control of a HexaRotor using Linear and Nonlinear Methods," Int. J. Appl. Inf. Syst., vol. 9, no. 5, pp. 9-17, Aug. 2015. [DOI:10.5120/ijais2015451411]
24. H. Liu, D. Derawi, J. Kim, and Y. Zhong, "Robust optimal attitude control of hexarotor robotic vehicles," Nonlinear Dyn., vol. 74, no. 4, pp. 1155-1168, Dec. 2013. [DOI:10.1007/s11071-013-1031-4]
25. "Discrete-time MPC With Prescribed Degree of Stability," in Model Predictive Control System Design and Implementation Using MATLAB®, Springer, London, 2009, pp. 149-192.
26. E. F. Camacho and C. B. Alba, Model Predictive Control. London ; New York: Springer, 2nd edition ed., May 2007. [DOI:10.1007/978-0-85729-398-5_7]

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