Kalman filter A wind turbine is modeled under the assumption that the rotor is directly attached to the generator and that the generator torque can be controlled directly. Then we can write (without noise): \dot\omega_\mathrm{r} = \frac{T_\mathrm{a}-T_\mathrm{g}}{J_\mathrm{r}}, where \omega_\mat…

Next try: using ControlSystemsBase import LowLevelParticleFilters as ll J = 4.047e7 # total inertia on the side of the rotor sigma_p = 0.01 # process noise sigma_m = 1000 # measurement noise Ts = 0.1 # sampling time [s] A = [0 1/J; 0 0] B = [-1/J; 0;;] C = [1 0] D = [0;;] sy…

Discrete Kalman filter

Specific Domains Modelling & Simulations

baggepinnen January 23, 2024, 3:24pm 18

The intended way is to provide the distribution of the initial state, you do this by providing the d0 argument here, for example

d0 = MvNormal(x0, R0)

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Discrete Kalman filter

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