Download Electrical Actuators: Applications and Performance by Bernard de Fornel, Jean-Paul Louis PDF

By Bernard de Fornel, Jean-Paul Louis

This useful source covers a wide variety of data concerning electric actuators. particularly, robustness, a really complex factor, is absolutely explored in a devoted bankruptcy. The textual content additionally bargains with he estimate of non-measurable mechanical variables via analyzing the estimate of load second, then commentary of the site of a command with no mechanical sensor. eventually, it examines the stipulations had to degree variables and actual implementation of numerical algorithms. it is a key operating source for electric engineers.

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The other LR and LC estimators offer a quality that is comparable with NL. 15. 3. Discussion Among the different estimators available for a parameter, sensitivity to measurement and model errors greatly varies. For some, it is so high that they are automatically disqualified; that is the case with LR2 and LC2 for R2 , Rf and Xm . Both LR1 and LC1 formulations showed similar results with a slight advantage for LR1. Parameter Xr experiences worse precision than the others. The two estimators proposed by LR have similar performances for most evaluations.

Measurements The methods that we will present from now on help us to determine the numeric values of the parameters from sinusoidal measurements. ) and a mechanical measurement: the rotor’s rotation speed. For electrical measurements, usually we would consider the measurements of the rms value Vs of a phase voltage, Is the rms value of its current and power P . In purely sinusoidal mode (absence of harmonics), we have P = 3 Vs Is cos(φ), where φ is the voltage/current phase difference. We can then determine the equivalent complex impedance of a phase Z = Z exp(j φ) with φ = arccos(P/(3 Vs Is )) and Z = Vs /Is .

4. This method is not easy to implement for all models. Nevertheless, for models depending on four parameters such as the one we have treated, it can easily be implemented. This method goes through a parameterization change for writing the model in a linear way according to the new parameters. When it is time to come back to physical parameters, we should choose the correct estimator because some of them have high sensitivity to uncertainties affecting the system. 10. In addition, we noted a slight superiority in the real formulation of the problem compared to the complex formulation.

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