Robust fuzzy control for stabilization of a quadrotor

Abstract

In this paper, we propose an algorithm based on fuzzy control to ensure the stability of the quadrotor. After giving the nonlinear model of the robot, its representation by a Takagi-Sugeno (T-S) fuzzy model is first discussed. Next, a fuzzy controller are synthesized which guarantee desired control performances. The given controller is designed using numerical tools (Linear Matrix Inequalities-LMI). The simulation results show effectiveness and robustness of the proposed method.

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Cite this paper

@article{Rabhi2011RobustFC, title={Robust fuzzy control for stabilization of a quadrotor}, author={Abdelhamid Rabhi and Mohammed Chadli and Claude P{\'e}gard}, journal={2011 15th International Conference on Advanced Robotics (ICAR)}, year={2011}, pages={471-475} }