The field oriented control of a permanent magnet synchrounous motor (PMSM) by using fuzzy logic
This project presents the comprehensive performance analysis on the principle of operation, design considerations and control algorithms of the field oriented control (FOC) for a permanent magnet synchronous motor (PMSM) drive system of Fuzzy Logic Controller (FLC) and proportional-integral PI...
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| 格式: | Thesis |
| 語言: | English English English |
| 出版: |
2014
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| 主題: | |
| 在線閱讀: | http://eprints.uthm.edu.my/1674/1/24p%20SAMAT%20IDERUS.pdf http://eprints.uthm.edu.my/1674/2/SAMAT%20IDERUS%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/1674/3/SAMAT%20IDERUS%20WATERMARK.pdf |
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| 總結: | This project presents the comprehensive performance analysis on the principle of
operation, design considerations and control algorithms of the field oriented control
(FOC) for a permanent magnet synchronous motor (PMSM) drive system of Fuzzy
Logic Controller (FLC) and proportional-integral PI for speed control in closed loop
operation. To perform speed control of typical PMSM drives, PI controllers and FOC
method are classically used. PI Controller controller suffers from the drawback that for
its proper performance, the limits of the controller gains and the rate at which they
would change have to be appropriately chosen. Fuzzy based gain scheduling of PI
controller has been proposed in which uses in order to overcome the PI speed
controller problem. The simulation results show that the proposed FLC speed
controller produce significant improvement control performance compare to the PI
controller. FLC speed controller produced a better performance than PI speed
controller where the overshoot is totally removed and the settling time faster than PI
speed controller in achieving desired output speed. The fuzzy algorithm is based on
human intuition and experience and can be regarded as a set of heuristic decision rules.
It is possible to obtain very good performance in the presence of varying load
conditions changes of mechanical parameters and inaccuracy in the process modelling.
Research and application of fuzzy logic are developing very rapidly, with promising
impacts on electric drives and power electronics in future.
Keywords: FOC, PMSM, FLC, PI and for Speed Control. |
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