Personal tools

Benchmark Canonical Identification Plots

Charlie-Jason-Luke-HorseTreadmill-PavillionFloor-eig.png

Charlie-Jason-Luke-HorseTreadmill-PavillionFloor-eig.png

This plot shows the root locus of the real (solid line) and imaginary (dotted line) parts of the eigenvalues for three bicycle systems: Identified (black), Whipple (blue), and the Whipple + Arms (model). The first principles models are calculated by taking the mean of the linear model with respect to the three riders. The identified model was computed with all of the available run data and is the "best fit" model for all of the data for all riders and both environments.

Read More…

Charlie-Jason-Luke-HorseTreadmill-PavillionFloor-Tdel.png

Charlie-Jason-Luke-HorseTreadmill-PavillionFloor-Tdel.png

The frequency response for the steer torque to roll angle transfer function for three models: identified (black), Whipple (blue), and Arm (red) for four speeds: 2.0 m/s (solid), 3.0 (dashed), 5.8 (dash-dot), 9.0 (dotted). First Principles: Mean of all riders. Identified: All riders, both environments.

Read More…

Charlie-Jason-Luke-HorseTreadmill-PavillionFloor-Tphi.png

Charlie-Jason-Luke-HorseTreadmill-PavillionFloor-Tphi.png

The frequency response for the roll torque to roll angle transfer function for three models: identified (black), Whipple (blue), and Arm (red) for four speeds: 2.0 m/s (solid), 3.0 (dashed), 5.8 (dash-dot), 9.0 (dotted). First Principles: Mean of all riders. Identified: All riders, both environments.

Read More…

Example fit at 2 m/s

Example fit at 2 m/s

Time histories of the roll and steer states showing example fits against the measured data (green) compared to the three models: identification from all runs and both environments (I), Whipple model (I) and the Arm model (A).

Read More…

Document Actions