Abstract

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.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.