wind_estimation_quadrotor

Wind estimation from quadrotor motion Estimation using a linear Kalman filter For details, see: G. Hattenberger, M. Bronz, and J. Condomines, “Estimating wind using a quadrotor,” in 12th international micro air vehicle conference, Puebla, México, 2021, p. 124–130.

Section WE_QUAD

WE_QUAD_

Name

Value

Description

MASS

required

mass of the airframe

DRAG

required

linear drag coefficient modeling the relation between drag and bank angle

P0_VA

1.

initial covariance on airspeed estimate

P0_W

1.

initial covariance on wind estimate

Q_VA

0.05

process noise on airspeed

Q_W

0.001

process noise on wind estimate

R

0.5

measurement noise on ground speed

UPDATE_STATE

FALSE|TRUE

update directly wind estimation in state interface (default: TRUE)

Sections