Fixed-time quadrotor trajectory tracking neural network backstepping control

Abstract

This paper aims at the trajectory tracking of a quadrotor. A novel fixed-time backstepping control design scheme is proposed for the quadrotor based on adaptive neural control approach. The suggested adaptive continuous controller ensures that the quadrotor well tracks the desired trajectory in fixed time in spite of appearance of model uncertainties. Finally, simulation results are given to verify the effectiveness of the proposed control strategy.