Eur. Phys. J. AP
Volume 14, Number 1, April 2001
|Page(s)||13 - 24|
|Section||Nanomaterials and Nanotechnologies|
|Published online||15 April 2001|
Flux observer for induction machine control. Part I - Sensitivity analysis as a function of sampling rate and parameters variations
Laboratoire d'Électrotechnique et d'Électronique de Puissance (L2EP) de Lille, École
Centrale de Lille, BP 48,
59651 Villeneuve d'Ascq Cedex, France
Corresponding author: email@example.com
Revised: 24 November 2000
Accepted: 24 November 2000
Published online: 15 April 2001
In the last decades, many vector control techniques have been developed for induction machine to increase their dynamic performances. But they are based on an accurate estimation of flux variables, which are not measurable in conventional induction machines. So, observer strategies are used in induction machine controls. Complex algorithms have been developed, but their long calculation time does not allow a simple implementation in digital form. For this reason, reduced-order observers are often used when a real-time estimation is implemented. If these structures lead to better flux estimations than in the case of an open-loop model, their convergence gains have to be determined and they are sensitive to the parameters value. The authors present a new analytical method to elaborate a reduced-order observer. The influence of the sampling rate is taken into account and the paper investigates the optimal gain, which minimise the sensitivity to the parameters value. In order to measure the observer robustness, the authors define two criteria, which are computed in steady state: the orientation error and the modulus error of the rotor flux. Some examples illustrate the theory and their calculation results are presented.
PACS: 84.50.+d – Electric motors / 84.60.Bk – Performance characteristics of energy conversion systems; figure of merit / 84.70.+p – High-current and high-voltage technology: power systems; power transmission lines and cables (including superconducting cables)
© EDP Sciences, 2001
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