A comparitive study on the control of UAVs for Trajectory tracking by MPC, SMC, Backstepping, and Fuzzy Logic controllers

Abstract

Autonomous navigation and localization of Aerial Vehicles in indoor environments is a major problem due to the difficulty of reliable control. Sliding Mode Control, Model Predictive Control, Back-stepping Control and Fuzzy Logic Control are proposed to stabilize and trajectory tracking for Unmanned Aerial Vehicles. Two trajectories were validated on the four controllers to determine the most efficient controller to maintain the optimal results.