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Research on the attitude regulation of 3-DOF hover system

Research on the attitude regulation of 3-DOF hover system
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摘要 Quadrotor helicopter is emerging as a popular platform for unmanned aerial vehicle re- search, due to its simplicity of structure and maintenance as well as the capability of hovering and vertical take-off and landing. The attitude controller is an important feature of quadrotor helicopter since it allows the vehicle to keep balance and perform the desired maneuver. In this paper, nonlin- ear control strategies including active disturbance rejection control (ADRC), sliding mode control (SMC) and backstepping method are studied and implemented to stabilize the attitude of a 3-DOF hover system. ADRC is an error-driven control law, with extended state observer (ESO) estimating the unmodeled inner dynamics and external disturbance to dynamically compensate their impacts. Meanwhile; both backstepping technique and SMC are developed based on the mathematical model, whose stability is ensured by Lyapunov global stability theorem. Furthermore, the performance of each control algorithm is evaluated by experiments. The results validate effectiveness of the strate- gies for attitude regulation. Finally, the respective characteristics of the three controllers are high- lighted by-comparison, and conclusions are drawn on the basis of the theoretical and experimental a- nalysis. Quadrotor helicopter is emerging as a popular platform for unmanned aerial vehicle re- search, due to its simplicity of structure and maintenance as well as the capability of hovering and vertical take-off and landing. The attitude controller is an important feature of quadrotor helicopter since it allows the vehicle to keep balance and perform the desired maneuver. In this paper, nonlin- ear control strategies including active disturbance rejection control (ADRC), sliding mode control (SMC) and backstepping method are studied and implemented to stabilize the attitude of a 3-DOF hover system. ADRC is an error-driven control law, with extended state observer (ESO) estimating the unmodeled inner dynamics and external disturbance to dynamically compensate their impacts. Meanwhile; both backstepping technique and SMC are developed based on the mathematical model, whose stability is ensured by Lyapunov global stability theorem. Furthermore, the performance of each control algorithm is evaluated by experiments. The results validate effectiveness of the strate- gies for attitude regulation. Finally, the respective characteristics of the three controllers are high- lighted by-comparison, and conclusions are drawn on the basis of the theoretical and experimental a- nalysis.
机构地区 School of Automation
出处 《Journal of Beijing Institute of Technology》 EI CAS 2013年第4期483-491,共9页 北京理工大学学报(英文版)
基金 Supported by the National Key Technology R&D Program of China(201011080)
关键词 3-DOF hover system dynamics attitude regulation active disturbance rejection control(ADRC) Lyapunov global stability theorem backstepping sliding mode control 3-DOF hover system dynamics attitude regulation active disturbance rejection control(ADRC) Lyapunov global stability theorem backstepping sliding mode control
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  • 1Hoffmann G M, Huang H M, Waslander S L, et al. Quadrotor helicopter flight dynamics and control: theory and experiment [C]// Proceedings of the American Institute of Aeronautics and Astronautics Guidance, Navigation and Control Conference. IEEE Press, 2007: 1-20.
  • 2Bouabdallah S, Noth A, Siegwart S. PID vs LQ control techniques applied to an indoor micro quadrotor [C]// Proceedings of The IEEE/RSJ International Conference on Intelligent Robots and Systems. Sendal, Japan: IEEE Press, 2004, 3:2 451-2 456.
  • 3Altug E, Ostrowski J P, Taylor C J. Control of a quadrotor helicopter using dual camera visual feedback [J]. The International Journal of Robotics Research, 2005, 24(5):329-341.
  • 4Voos H. Nonlinear control of a quadrotor micro-uav using feedback linearization[C]// Proceedings of the IEEE International Conference on Mechatronics. Mdlaga, Spain: IEEE Press, 2009:1-6.
  • 5Bouabdallah S, Siegwart R. Backstepping and sliding- mode techniques applied to an indoor micro quadrotor [C]1// Proceeding of The IEEE International Conference on Robotics and Automation. Barcelona, Spain: IEEE Press, 2005:2 247-2 252.
  • 6Raffo G V, Ortega M G, Rubio F R. MPC with nonlinear Hoo control for path tracking of a quadrotor helicopter [ C]// Proceedings of the 17th World Congress The International Federation of Automatic Control. Seoul, South Korea: IEEE Press, 2008: 8 564-8 569.
  • 7Chen M, Huzmezan M. A combined MBPC/2DOF Hoo controller for a quadrotor UAV[C]// Proceedings of the American Institute of Aeronautics and Astronautics Guidance, Navigation, and Control Conference and Exhibit. Austin, USA: IEEE Press, 2003.
  • 8Madani T, Benallegue A. Control of a quadrotor mini- helicopter via full state backstepping technique [C]// Proceedings of the 45th IEEE Conference on Decision and Control. Diego, USA.. IEEE Press, 2006: 1 515- 1 520.
  • 9Das A, Subbarao K, Lewis F. Dynamic inversion with zero- dynamics stabilization for quadrotor control[J]. IET Control Theory and Applications, 2009, 3 (3): 303-314.
  • 10Das A, Lewis F, Subbarao K. Backstepping approach for controlling a quadrotor using Lagrange form dynamics [J]. Journal of Intelligent and Robotics Systems, 2009, 56(1): 127-151.

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