A robust H∞ control for unmanned aerial vehicle against atmospheric turbulence

Unmanned aerial vehicles (UAVs) experience different atmospheric uncertainties during the flight operation. These uncertainties caused the problem in the stability and the desired performance of the system. This research paper is structured to nullify the influence of atmospheric turbulence and ground effect on the unmanned aerial vehicle to control the roll angle. The model of Dryden turbulence is used as it is one of the major disturbances affecting the UAVs and then dynamic output feedback robust controller is synthesized using linear matrix inequality (LMI) approach to minimize the effect of atmospheric turbulence in the plant. This research managed to design controller so that it can meet both robustness and stability requirements. To investigate the performance of proposed technique, robust control effort is compared with optimal LQR control law. The simulation results show that robust dynamic output feedback control has achieved good transient and steady state performance than LQR optimal control against atmospheric turbulence.