par Claessens, Patrick 
;Mathys, Pierre ;Bou Saada, Johnny ;Colignan, P.
Référence IEE Conference Publication, 4, 377, page (422-427)
Publication Publié, 1993
;Mathys, Pierre ;Bou Saada, Johnny ;Colignan, P.Référence IEE Conference Publication, 4, 377, page (422-427)
Publication Publié, 1993
Article révisé par les pairs
| Résumé : | This paper deals with a new, robust and adaptive state observer for the torque control of asynchronous machines used in railways. Vector control requires an accurate estimation of the flux vector through a model. The first problem is the robustness of the observer since some parameters of the model are varying a lot with temperature and speed and since some noise is always present on measurements. The second problem is real time since all computations have to be performed in a very short time (less than 100 μs for a 200Hz machine). We have developed a reduced-order model that can observe a linear combination of the rotor flux vector and the stator current vector. The coefficients of this combination give two degrees of freedom to optimize the robustness of the observer with respect to the errors on the most critical parameters and measures i.e., errors on rotor resistance, stator resistance and stator voltage. This method allows to construct an adaptive observer function of speed and load. The optimal trajectory in the plane of the two parameters gives an easy graphical interpretation. Experimental results show significant improvements compared with previous methods. |
