This article investigates the attitude control problem of quadrotor unmanned aerial vehicles (UAVs) with disturbances, actuator faults, and measurement noises. First, to avoid the noise amplification, the attitude system is transformed into a linear decoupled system, and the influences of uncertainties (including disturbances, actuator faults, and nonlinearities) are regarded as lumped disturbances. Second, to handle the uncertainties and noises simultaneously, the combined Kalman filter generalized proportional integral observer (KFGPIO) is introduced to estimate the filtered states and lumped disturbances. And then, a composite controller is proposed based on the estimation of KFGPIO. Simulation results validate that the proposed method achieves good disturbance rejection and fault tolerance performance and guarantees the continuity of control action even under serious measurement noises.
Composite Controller Design for Quadrotor UAVs With Uncertainties and Noises Based on Combined Kalman Filter and GPIO
IEEE Transactions on Aerospace and Electronic Systems ; 60 , 1 ; 882-892
01.02.2024
5285928 byte
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Controller design for quadrotor UAVs using reinforcement learning
Tema Archiv | 2010
|Leader–Follower Based Formation Controller Design for Quadrotor UAVs
Springer Verlag | 2022
|Springer Verlag | 2024
|