Control of UAV quadrotor using reinforcement learning and robust controller

The control of unmanned aerial vehicle quadrotor is challenging because non-linearities, coupling and disturbance. Here, a novel method which includes reinforcement learning (RL) component robust proposed. In this method, the RL only relies on collected data instead modelling to handle disturbance from aerodynamics model. To ensure safety during training improve speed, used reduce .The stability system with our controller proven by Lyapunov method. results simulation exhibit advanced performance controller.