Trajectory Tracking Control for a QUAV Based on Second Order Sliding Mode

In this study, a position and attitude tracking control approach is designed for a quadrotor unmanned aerial vehicle (QUAV). In the controller design, the entire control system is divided into two parts: a fully actuated subsystem and an underactuated subsystem. For the fully actuated subsystem, a traditional sliding mode controller is proposed, while a novel second-order sliding mode controller is developed for the underactuated subsystem. It is proved that all the signals in the overall system are bounded, and that all the state variables can track the reference trajectories. The simulation results demonstrate the effectiveness of the proposed approach.

[1]  Ümit Özgüner,et al.  Sliding mode control of a class of underactuated systems , 2008, Autom..

[2]  Jing-Jing Xiong,et al.  Global fast dynamic terminal sliding mode control for a quadrotor UAV. , 2017, ISA transactions.

[3]  En-Hui Zheng,et al.  Position and attitude tracking control for a quadrotor UAV. , 2014, ISA transactions.

[4]  Anuradha M. Annaswamy,et al.  Adaptive Control of Quadrotor UAVs: A Design Trade Study With Flight Evaluations , 2013, IEEE Transactions on Control Systems Technology.

[5]  En-hui Zheng,et al.  Second order sliding mode control for a quadrotor UAV. , 2014, ISA transactions.

[6]  Mustapha Hamerlain,et al.  Applied of an adaptive Higher order sliding mode controller to quadrotor trajectory tracking , 2015, 2015 IEEE International Conference on Control System, Computing and Engineering (ICCSCE).

[7]  Chao Deng,et al.  Adaptive fuzzy global sliding mode control for trajectory tracking of quadrotor UAVs , 2019, Nonlinear Dynamics.

[8]  Jing Li,et al.  Backstepping control of a quadrotor unmanned aerial vehicle based on multi-rate sampling , 2018, Science China Information Sciences.

[9]  Wuxi Shi Adaptive fuzzy control for multi-input multi-output nonlinear systems with unknown dead-zone inputs , 2015, Appl. Soft Comput..

[10]  Hashem Ashrafiuon,et al.  Sliding mode control of underactuated multibody systems and its application to shape change control , 2008, Int. J. Control.

[11]  Youmin Zhang,et al.  Development of advanced FDD and FTC techniques with application to an unmanned quadrotor helicopter testbed , 2013, J. Frankl. Inst..

[12]  Saleh Mobayen,et al.  Adaptive sliding mode control for finite-time stability of quad-rotor UAVs with parametric uncertainties. , 2017, ISA transactions.

[13]  Timothy W. McLain,et al.  Quadrotors and Accelerometers: State Estimation with an Improved Dynamic Model , 2014, IEEE Control Systems.

[14]  Salim Labiod,et al.  Adaptive fuzzy control of a class of MIMO nonlinear systems , 2005, Fuzzy Sets Syst..