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Multivariable Super Twisting Based Robust Trajectory Tracking Control for Small Unmanned Helicopter

Author

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  • Xing Fang
  • Aiguo Wu
  • Yujia Shang
  • Chunyan Du

Abstract

This paper presents a highly robust trajectory tracking controller for small unmanned helicopter with model uncertainties and external disturbances. First, a simplified dynamic model is developed, where the model uncertainties and external disturbances are treated as compounded disturbances. Then the system is divided into three interconnected subsystems: altitude subsystem, yaw subsystem, and horizontal subsystem. Second, a disturbance observer based controller (DOBC) is designed based upon backstepping and multivariable super twisting control algorithm to obtain robust trajectory tracking property. A sliding mode observer works as an estimator of the compounded disturbances. In order to lessen calculative burden, a first-order exact differentiator is employed to estimate the time derivative of the virtual control. Moreover, proof of the stability of the closed-loop system based on Lyapunov method is given. Finally, simulation results are presented to illustrate the effectiveness and robustness of the proposed flight control scheme.

Suggested Citation

  • Xing Fang & Aiguo Wu & Yujia Shang & Chunyan Du, 2015. "Multivariable Super Twisting Based Robust Trajectory Tracking Control for Small Unmanned Helicopter," Mathematical Problems in Engineering, Hindawi, vol. 2015, pages 1-13, May.
  • Handle: RePEc:hin:jnlmpe:620357
    DOI: 10.1155/2015/620357
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