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Model Reference Adaptive Control of Asynchronized Synchronous Motor based on Neural Network On-Line Identification
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| Author(s) |
Li Liu, Xiaoqiong He, Jian Xiao, Helmut Weiss |
| Abstract |
From system control point of view,
asynchronized synchronous motor is a complex nonlinear
plant with uncertainties, and is hard to be controlled by
traditional control method. An excitation control method
based on model reference adaptive control of asynchronized
synchronous motor using neural network on-line
identification is proposed in this paper. This method utilizes
the mapping abilities of neural networks to construct the
reference model of the plant, and self-learning is achieved
by means of neuron. The simulation results show a better
robustness and control accuracy of the proposed method. |
| Download |
| Filename: | T3-404.pdf |
| Filesize: | 254.2 KB |
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| Type |
Members Only |
| Date |
Last modified 2007-03-12 by System |
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