Wind and Actuator Fault Estimation for a Quadrotor UAV Based on Two-Stage Particle Filter

This paper investigates the problems of wind and actuator fault estimation for a quadrotor unmanned aerial vehicle(UAV).To e®ectively assess the safety and reliability of a quadrotor UAV in the presence of unknown wind disturbances,a two-stage particle filter(TSPF)scheme is proposed to obtain the simultaneous estimation of winds and actuator faults that may degrade the performance of the vehicle.In this scheme,the first-stage particle filter is used to estimate the states of the quadrotor UAV,and the second-stage particle filter is designed to produce estimates of unknown parameters,including the wind disturbances and actuator faults.To mitigate the degeneracy and impoverishment issues,the second-stage particle filter admits a parallel implementation of increased particle samplings for the wind and actuator fault estimation.Finally,simulation results are presented to demonstrate the e®ectiveness of the proposed scheme.