Speed control of permanent magnet synchronous motor using neural network
This paper presents the implementation of a model for a Permanent Magnet Synchronous (PMSM) speed control by using neural network. The mathematical model of PMSM and artificial neural networkalgorithm is derived. The controller is designed to tracks variations of speed references and stabilizes the...
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| Main Authors: | , , , , , |
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| 格式: | Conference or Workshop Item |
| 出版: |
2012
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| 主题: | |
| 在线阅读: | http://eprints.uthm.edu.my/5869/ http://eprints.uthm.edu.my/5869/4/10_x.pdf |
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| 总结: | This paper presents the implementation of a model for a Permanent Magnet
Synchronous (PMSM) speed control by using neural network. The mathematical
model of PMSM and artificial neural networkalgorithm is derived. The controller
is designed to tracks variations of speed references and stabilizes the output speed
during load variations. The PMSM has been widely used in motion control
applications; especially because of their low rotor inertia, high efficiency and
reduced rotor size. However, due to the nonlinearity of the PMSM drive
characteristics, it is difficult to control by using conventional proportional-integraldifferential
(PID) controller. In order to overcome this main problem, a neural
network controller with online learning technique based on back propagation
algorithm is developed. Hysterisis current controller is used for inner loop current
control. The effectiveness of the proposed method is verified by develop
simulation model in MATLAB-simulink program. The simulation results show
that the proposed neural network controller (NNC) produce significant
improvement control performance compare to the PID controller for both
condition controlling speed reference variations and load disturbance variations.
It can conclude that by using proposed controller, the overshoot, steady state
error and rise time can be reducing significantly. |
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