The control method within wind disturbance for MAV based on nonlinear model

To solve the issues of nonlinear model and wind disturbance, it was proposed that the sliding mode control method based on vector field. Firstly, the nonlinear model for MAV(Micro Aerial Vehicle) was constructed. Secondly, the complexity tracking decomposed into straight line and arc segment by the proposed control method, the stable and convergent control law was constructed, and then the simulation experiment shows that MAV can complete the task of tracking in the windy condition through the navigation information. Finally, the proposed control method was compared with the traditional PID controller by flight experiments, and experimental results show that the proposed control method can guarantee the flight path control accuracy in the wind field for MAV.

[1]  T. Mulyanto,et al.  The development of an autonomous control system for a small UAV: Waypoints following system , 2009, 2009 7th Asian Control Conference.

[2]  Tao Ye,et al.  Control System Design for Silicon MEMS-based Micro UAV , 2006, The Proceedings of the Multiconference on "Computational Engineering in Systems Applications".

[3]  Jae Weon Choi,et al.  LQR design with eigenstructure assignment capability [and application to aircraft flight control] , 1999 .

[4]  Jung Soon Jang,et al.  Small UAV Automation Using MEMS , 2007, IEEE Aerospace and Electronic Systems Magazine.

[5]  Youdan Kim,et al.  Nonlinear discrete-time reconfigurable flight control law using neural networks , 2006, IEEE Trans. Control. Syst. Technol..

[6]  Zhen Jiang,et al.  Online Fuzzy Self-Adaptive PID Attitude Control of a Sub Mini Fixed-Wing Air Vehicle , 2007, 2007 International Conference on Mechatronics and Automation.

[7]  Timothy W. McLain,et al.  Vector Field Path Following for Miniature Air Vehicles , 2007, IEEE Transactions on Robotics.

[8]  Jae Weon Choi,et al.  LQR Design with Eigenstructure Assignment Capability , 1999 .

[9]  Mario Innocenti,et al.  A Fuzzy Approach to the Guidance of Unmanned Air Vehicles Tracking Moving Targets , 2008, IEEE Transactions on Control Systems Technology.