| Autor: |
Nandhini Gayathri, M., Himavathi, S., Sankaran, R. |
| Předmět: |
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| Zdroj: |
International Review on Modelling & Simulations; Aug2011, Vol. 4 Issue 4, p1591-1597, 7p |
| Abstrakt: |
In recent years, vector control schemes for induction motor drive systems have gained wide acceptance in high performance applications. Vector Control transforms the control of an induction motor to that of a separately excited dc motor by creating independent channels for flux and torque control. The success of the vector control scheme is the knowledge of the instantaneous position of rotor flux. The position of the rotor flux is measured in the direct vector control scheme and estimated in the indirect vector control scheme. This requires a prior knowledge of the machine parameters which makes the indirect vector control scheme machine parameter dependent especially rotor resistance. MRAS based rotor resistance estimation is simpler and easy to design. In this paper, the vector controlled drive with Neural Learning Algorithm based MRAS rotor resistance estimator is designed and validated through MATLAB/SIMULINK simulation and compared with Conventional MRAS. The performance of the vector controlled drive is analyzed extensively and the performance of the estimator is also analyzed in terms of accuracy and settling time. The promising results obtained are presented. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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