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Adaptative high-gain extended Kalman filter and applications

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tel-00559107, version 1 - 24 Jan 2011<br />

4.2 Simulation<br />

In the second scenario, we notice that at some unexpected moments the adaptive <strong>high</strong><strong>gain</strong><br />

observer has the same behavior as that of the non <strong>high</strong>-<strong>gain</strong> observer (e.g. Figure 4.15).<br />

When we take a look at Figure 4.18, we see that θ didn’t actually increase for t ∈ [40; 80] <strong>and</strong><br />

t ∈ [100; 160]. The explanation lies in Figure 4.12. The sudden change in the torque load<br />

wasn’t sufficient enough to have a significant effect on the output signal.<br />

As in the previous scenario, the adaptive observer presents two advantages with respect<br />

to the two other <strong>filter</strong>s, namely that of improved noise rejection <strong>and</strong> that of increased speed<br />

of convergence in the event of perturbations.<br />

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Figure 4.15: Scenario 3: Estimation of the rotation speed.<br />

We conclude this section with Figure 4.19, which shows the estimation obtained from a<br />

adaptive <strong>high</strong>-<strong>gain</strong> observer with a poorly chosen value for m2. Since it is too small, θ is<br />

increasing when it is not needed. The corresponding innovation plot is provided in Figure<br />

4.20.<br />

73

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