Fixed-TimeBackstepping Control of Quadrotor Trajectory Tracking Based On Neural Network
Mingyu Wang, Bing Chen, Chong Lin
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 controller ensures that the quadrotor well tracks the desired trajectory in finite time in spite of appearance of model uncertainties. Finally, simulation results are given to verify the effectiveness of the proposed control strategy.
Topics & Concepts
BacksteppingTrajectoryControl theory (sociology)Computer scienceArtificial neural networkTracking (education)Controller (irrigation)Scheme (mathematics)Adaptive controlControl engineeringControl (management)Artificial intelligenceEngineeringMathematicsBiologyAgronomyAstronomyPsychologyPhysicsMathematical analysisPedagogyAdaptive Control of Nonlinear SystemsAdaptive Dynamic Programming ControlUnderwater Vehicles and Communication Systems