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http://localhost:8080/xmlui/handle/123456789/3845| Title: | Enhanced Predictive Torque Control for Open End Winding Induction Motor Drive Without Weighting Factor Assignment |
| Authors: | Kodumur Meesala, Ravi Eswar Kunisetti, Venkata Praveen Kumar Kumar Thippiripati, Vinay |
| Keywords: | Cost benefit analysis Cost functions |
| Issue Date: | 2018 |
| Publisher: | IEEE Transactions on Power Electronics |
| Citation: | 10.1109/TPEL.2018.2812760 |
| Abstract: | —Nowadays, predictive torque control (PTC) is the most popular control technique in the field of electric drives. This PTC strategy is introduced for open end winding induction mo tor (OEWIM) drive in view of advantages. The conventional PTC offers a single-cost function where torque and stator flux control objectives are present. Since these control objectives are dissimi lar, weighting factor designation to the respective control objective is essential. Weighting factor tuning by an empirical approach leads to a cumbersome control process. To overcome this tuning problem, this paper suggests a single control objective containing stator reference and predicted flux space vectors. This simplified proposed control scheme relieves PTC from weighting factor and facilitates combined torque and flux control. However, to control inverter switching frequency including torque and flux in a single cost function, weighting factors assignment and its proper tuning is indispensable. The proposed scheme is extended by replacing a single-cost function with separate multiobjectives and its opti mization is achieved using a simple ranking analysis with limited prediction voltage vectors (VVs). This proposed feature permits PTC independent from weighting factors. Simulation and exper imentation are performed on a dual inverter fed OEWIM drive. The achieved results are related with conventional PTC to verify the effectiveness of the proposed PTC. |
| Description: | NITW |
| URI: | http://localhost:8080/xmlui/handle/123456789/3845 |
| Appears in Collections: | Electrical Engineering |
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