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自组织竞争神经网络在异步电机参数辨识中的应用
Application of Self-organize Competition Neural Network in Asynchronous Motor Parameters’Identification
【摘要】 介绍了自组织竞争神经网络在交流异步电机参数辨识中的应用。例举了参数辨识所需要的几个实验,阐述了用神经网络处理所采集数据的过程与算法。实验结果证明,该神经网络可以快速稳定地收敛。
【Abstract】 In this paper, self-organize competition neural network is applied in the parameters’ identification of asynchronous motor. Firstly, measure method of parameters is introduced, and then the arithmetic of self-organize competition neural network is presented in detail. The experiments results indicates that this network converge quickly.
【关键词】 神经网络;
自组织竞争;
异步电机;
参数辨识;
【Key words】 neural network; self-organize competition; asynchronous motor; parameter indentification;
【Key words】 neural network; self-organize competition; asynchronous motor; parameter indentification;
- 【文献出处】 电机与控制应用 ,Electric Machines & Control Application , 编辑部邮箱 ,2006年04期
- 【分类号】TM343
- 【被引频次】6
- 【下载频次】358