LQR, H8 control, optimal control, quadcopter, model identification, LMI
Abstract
This article presents an experimental study of two control techniques based on the Optimal Control theory, applied to an unmanned aerial vehicle (UAV). The first technique, based on the quadratic cost function, is the LQR controller. The second technique optimizes the norm H_infinito taking into account the pole allocation and using an approach based on LMIs. The test platform used is the quadrotor AR.Drone 2.0 and the algorithms are implemented in the Robot Operating System (ROS).