| Titre : | Optimization of delayed-state Kalman-filter-based algorithm via differential evolution for sensorless control of induction motors |
| Auteurs : | Salvatore, Nadia, Auteur ; Caponio, Andrea, Auteur ; Neri, Ferrante, Auteur |
| Type de document : | Article : texte imprimé |
| Dans : | IEEE transactions on industrial electronics (Vol. 57 N° 1, Janvier 2010) |
| Article en page(s) : | pp. 385 - 394 |
| Note générale : | Génie électrique |
| Langues : | Anglais |
| Index. décimale : | 621.38 (Dispositifs électroniques. Tubes à électrons. Photocellules. Accélérateurs de particules. Tubes à rayons X) |
| Tags : | AC motor drives Algorithms Covariance matrices Evolutionary algorithms (EAs) Induction-motor (IM) Kalman filtering Optimization methods Parameter estimation Speed sensorless State Velocity control |
| Résumé : | This paper proposes the employment of the differential evolution (DE) to offline optimize the covariance matrices of a new reduced delayed-state Kalman-filter (DSKF)-based algorithm which estimates the stator-flux linkage components, in the stationary reference frame, to realize sensorless control of induction motors (IMs). The DSKF-based algorithm uses the derivatives of the stator-flux components as mathematical model and the stator-voltage equations as observation model so that only a vector of four variables has to be offline optimized. Numerical results, carried out using a low-speed training test, show that the proposed DE-based approach is very promising and clearly outperforms a classical local search and three popular metaheuristics in terms of quality of the final solution for the problem considered in this paper. A novel simple stator-flux-oriented sliding mode (SFO-SM) control scheme is online used in conjunction with the optimized DSKF-based algorithm to improve the robustness of the sensorless IM drive at low speed. The SFO-SM control scheme has closed loops of torque and stator-flux linkage without proportional-plus-integral controllers so that a minimum number of gains has to be tuned. |
| DEWEY : | 621.38 |
| ISSN : | 0278-0046 |
| En ligne : | http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5280262 |
