Extended Speed Current Profiling Algorithm for Low Torque Ripple SRM Using Model Predictive Control
| Autor: | Md. Ashfanoor Kabir, Iqbal Husain, Siddharth Mehta |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
010302 applied physics
Computer science 020208 electrical & electronic engineering Ripple Slew rate 02 engineering and technology 01 natural sciences Switched reluctance motor Model predictive control 0103 physical sciences Lookup table 0202 electrical engineering electronic engineering information engineering Torque Torque ripple MATLAB computer Algorithm computer.programming_language |
| Zdroj: | 2018 IEEE Energy Conversion Congress and Exposition (ECCE). |
| DOI: | 10.1109/ecce.2018.8558169 |
| Popis: | In this work a current profiling algorithm based on semi-numerical model of switched reluctance machine (SRM) is proposed for torque ripple minimization. For extending the low ripple torque control even at higher speeds, the algorithm is developed by keeping both torque ripple and the controller's bandwidth requirements into consideration. The algorithm has a predictive current controller implemented in conjunction with a high accuracy lookup table (LUT) based semi-numerical machine model. A slew rate based analysis shows the effect of the predictive controller's bandwidth on current profile tracking. Simulations are carried out in Matlab/Simulink and results show improved performance with the proposed algorithm at higher speeds than the existing method. As a result, the proposed algorithm provides low ripple torque control opportunity for SRMs over extended speed range. |
| Databáze: | OpenAIRE |
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