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Modelling and assembly of the full vehicle 379<br />

0.05<br />

Body slip angle estimate<br />

0.045<br />

0.04<br />

0.035<br />

0.03<br />

0.025<br />

0.02<br />

0.015<br />

0.01<br />

0.005<br />

0<br />

50 40 30 20 10 0 10 20 30 40 50<br />

0.05<br />

Body slip angle estimate<br />

0.045<br />

0.04<br />

0.035<br />

0.03<br />

0.025<br />

0.02<br />

0.015<br />

0.01<br />

0.005<br />

0<br />

50 40 30 20 10 0 10 20 30 40 50<br />

Fig. 6.46 Probability density for body slip angle estimates – Greece 2002 (top)<br />

and Germany 2002 (bottom) for Petter Solberg, Subaru World Rally Team<br />

invoked then we have to some extent failed. Such behaviour is desirable in<br />

the real vehicle too and is the goal of active intervention systems such as<br />

brake-based stability control systems; however, the robust sensing of body<br />

slip angle still proves elusive in a cost-effective manner despite its apparent<br />

simplicity.<br />

6.13.4 Two-loop driver model<br />

For general use, the authors favour a simple and robust two-loop<br />

driver model comprising a path follower and spin catcher, with a separate<br />

speed control as appropriate to the task at hand. Figure 6.48 shows such a<br />

model.

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