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6 Results and conclusion
2.5 3 3.5 4 4.5 5
0
0.05
0.1
0.15
0.2
0.25
Time in s
b) Difference between µmax(sampled particles) and µmax(fixed particles)
Limit Time in s
a) Standard deviation of sampled particles
2.5 3 3.5 4 4.5 5
0
0.05
0.1
0.15
0.2
0.25
0.3
0.35
Limit
ˆ ˆ
Figure 6.6.: Top: Standard deviation (SD) of variable particles (black) and SD limit
of 0.1 (gray) versus time during a braking manoeuvre with deceleration of
≈−4.5 m/s2 for aµ step manoeuvre. Bottom: Difference ∆µˆmax between
µˆmax(fixed particles) and µˆmax(variable particles) and the limit of 0.2 versus
time for the same manoeuvre.
tialisation methods. Whereas in the case of SD, the number of re-initialisations is high,
see Figure 6.9 (top), the infrequent re-initialisation using ∆µˆmax as shown in Figure 6.9
(bottom) favors higher deviations between the reference value and the estimate which is
not corrected versus time.
Table 6.2 shows the MAE and maximum absolute errors for the estimates shown in
Figure 6.8. For the short periods of time where a change in µmax is not yet detected,
the maximum absolute error of about 0.75 is quite high for all three cases. For this
manoeuvre in general, the estimate µˆmax(fixed particles) shows the best accuracy with
114
Maximum Tire-Road Friction Coefficient Estimation
- Title
- Maximum Tire-Road Friction Coefficient Estimation
- Author
- Cornelia Lex
- Publisher
- Verlag der Technischen Universität Graz
- Location
- Graz
- Date
- 2015
- Language
- English
- License
- CC BY-NC-ND 3.0
- ISBN
- 978-3-85125-423-5
- Size
- 21.0 x 29.7 cm
- Pages
- 189
- Category
- Technik