A Grey Wolf Optimization‑Based Tilt Tri‑rotor UAV Altitude Control in Transition Mode

Abstract

To solve the problem of altitude control of a tilt tri-rotor unmanned aerial vehicle (UAV) in the transition mode, this study presents a grey wolf optimization (GWO) based neural network adaptive control scheme for a tilt tri-rotor UAV in the transition mode. Firstly, the nonlinear model of the tilt tri-rotor UAV is established. Secondly, the tilt tri-rotor UAV altitude controller and attitude controller are designed by a neural network adaptive control method, and the GWO algorithm is adopted to optimize the parameters of the neural network and the controllers. Thirdly, two altitude control strategies are designed in the transition mode. Finally, comparative simulations are carried out to demonstrate the effectiveness and robustness of the proposed control scheme.