This report presents analysis of motorcycle wobble and weave in different ways. The first method
is the identification of wobble and weave via Stochastic Subspace Identification (SSI) and the
second makes use of the software FastBike. Three SSI variants have been outlined and implemented
in Matlab namely, Covariance (COV), Unweighted Principal Component (UPC) and the
Conanical Variate Analysis (CVA). Next, pole selection using stabilisation diagrams is discussed
and the different variants are compared. It is concluded that the covariance driven variant shows
the most promising results. Finally, SSI-COV is used to identify weave and wobble of experimental
data for different motorcycles. The second method presented in this report uses two models
for comparing wobble and weave. The model by R.S. Sharp has been implemented in Fast-
Bike and is compared to the original model. It has been concluded that the motorcycle stability
model by Sharp is a good baseline because it corresponds to the results provided by the model
implemented in FastBike.
DC 2014.003