Comments (3)
@manumerous Yes, but probably for this to be observable, we need the rotational velocity of the rotors.
For multirotors, as long as the coordinate frame is aligned with the principle axis of the drone, omega X I omega is zero. So ignoring this effect is not too bad.
For other platforms, this may introduce some problems. Lets note that we are ignoring this effect and revisit this after we resolve more urgent problems in this repository.
from data-driven-dynamics.
`X_body_rot_coef_list = ["I_yy-I_zz", "I_zz-I_xx", "I_xx- I_yy"]`
Are we actually estimating the moment of inertia? or are we just calculating the difference?
- This doesn't seem to appear in the model results
from data-driven-dynamics.
@manumerous I think I am now extremely confused by this formulation. Where is the inverse of the moment_of_inertia applied?
from data-driven-dynamics.
Related Issues (20)
- Adapt QP Optimizer for unconstraint parameters HOT 3
- Generate real flight log data with lissajous trajectories HOT 1
- Plots appear broken HOT 2
- QP Estimator results in infeasible primal
- Pipeline Validation: Estimating parameters of custom gazebo model HOT 2
- RotorModel fails to calculate relevant features if position and axis vector are collinear HOT 5
- Evaluation with identified model HOT 10
- [FeatureRequest] Non-dynamic parameter estimation HOT 2
- Compute features before dataselection HOT 4
- Failure on using quadrotor model with plot enabled
- Pipeline fails with data selection HOT 1
- Online Sys ID HOT 6
- Pipeline fails with default models HOT 2
- Plotting broken(again)
- Moment prediction doesn't seem to be correct with QP HOT 2
- Multi instance topic logs break the pipeline
- Simulation and testing problem (inconsistent behavior) HOT 27
- Unified formatter for python code HOT 3
- Model estimation broken for upstream PX4 HOT 6
- ID data gathering FW/VTOL HOT 3
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