TITLE:
A Data-Driven Adaptive Method for Attitude Control of Fixed-Wing Unmanned Aerial Vehicles
AUTHORS:
Meili Chen, Yuan Wang
KEYWORDS:
Data-Driven, Adaptive Method, Attitude Control, Unmanned Aerial Vehicles (UAV), Internal Model Control
JOURNAL NAME:
Advances in Aerospace Science and Technology,
Vol.4 No.1,
March
1,
2019
ABSTRACT: In this paper, a real-time
online data-driven adaptive method is developed to deal with uncertainties such
as high nonlinearity, strong coupling, parameter perturbation and external
disturbances in attitude control of fixed-wing unmanned aerial vehicles (UAVs). Firstly, a model-free adaptive control
(MFAC) method requiring only input/output (I/O) data and no model
information is adopted for control scheme design of angular velocity subsystem
which contains all model information and up-mentioned uncertainties. Secondly,
the internal model control (IMC) method featured with less tuning parameters
and convenient tuning process is adopted for control scheme design of the
certain Euler angle subsystem. Simulation results show that, the method developed
is obviously superior to the cascade PID (CPID) method and the nonlinear
dynamic inversion (NDI) method.