Robust control of a quadrotor using Takagi-Sugeno fuzzy model and an LMI approach

This paper presents robust control for a quadrotor using TS (Takagi-Sugeno) fuzzy model and an LMI (Linear Matrix Inequality) approach. TS fuzzy model can provide an effective representation of nonlinear systems with a set of local linear models. We present TS fuzzy model for the quarotor which is composed of local linear models valid in different operation points. Also, a state feedback controller is designed based on LMIs with the pole placement method. Simulation results illustrate the more stable tracking performance of the proposed controller in comparison with a conventional LQR controller.