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Adaptative high-gain extended Kalman filter and applications

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

Figure 4.23: Xrtailab.<br />

4.3 real-time Implementation<br />

1. we cannot keep the ideal efficiency of the machine assumption any longer. Therefore,<br />

instead of considering a unique mutual inductance Laf we separate it into two distinct<br />

parameters: Laf1 <strong>and</strong> Laf2 ,<br />

2. the resistive torque Tres is modeled as the sum of<br />

− a viscous friction torque generated by the contacts inside the motor: Bωr,<br />

− a torque due to the presence of the propeller <strong>and</strong> which is modeled according to<br />

),<br />

the technical report [44] as (pω 2.08<br />

r<br />

− an unknown perturbation torque (i.e. braking), just as before: Tl.<br />

The final model thus obtained is<br />

� ˙<br />

I = (V − R.I − Laf1 Iωr)/L<br />

ωr ˙ = (Laf2Iωr − Bωr − pω2.08 r<br />

− Tl)/J.<br />

Neither the observability analysis nor the change of variables that brought the model<br />

into its normal form are affected by these modifications. Therefore, in the same manner as<br />

before, we can estimate the load torque Tl by adding a third equation. The corresponding<br />

81

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