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Improved DTC relying on Hybrid Fuzzy-self tuning PI Regulator for the Permanent Magnet Synchronous Machine K. Nabti. K. Abed. H. Benalla Electrotechnic's laboratory of Constantine, faculty of engineering sciences Mentouri University, Campus Zerzara, Constantine, ALGERIA.Abstract We propose in this paper a Self-adaptation PI for speed regulation based on direct torque control (DTC) of Permanent Magnet Synchronous Machine (PMSM). Speed regulation with a conventional PI regulator reduces the speed control precision, increases the torque fluctuation, and consequentially causes low performances of the whole system. Using fuzzy logic method, by self-adaptation of conventional PI regulator parameters gives the appropriate Kp and Ki (proportional and integral coefficients respectively) which improve the system performance. Simulation results show that the ripples of both torque and flux are reduced remarkably, small overshooting and good dynamics of speed and torque. Keywords: Permanent Magnet Synchronous Machine, Direct Torque Control, Fuzzy PI regulator. (
@ARTICLE{P1110841400,
AUTHOR = {K. Nabti. and K. Abed. and H. Benalla}, TITLE = {Improved DTC relying on Hybrid Fuzzy-self tuning PI Regulator for the Permanent Magnet Synchronous Machine}, JOURNAL = {ICGST International Journal on Automatic Control and Systems Engineering, ACSE}, YEAR = {2008}, VOLUME = {08}, ISSUE = {III} PAGES={45--50} } ( |
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