文章摘要
遗传神经网络无速度传感器DTC系统的研究
Research on Speed Sensor-less DTC System of Genetic Neural Network
  
DOI:10.3969/j.issn.1671-5322.2009.03.013
中文关键词: 直接转矩控制  无速度传感器  遗传算法  神经网络
英文关键词: direct torque control  speed sensor-less  genetic algorithm  neural network
基金项目:
作者单位
李小凡 盐城工学院电气工程学院江苏盐城224051 
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中文摘要:
      利用交流电动机的磁链方程和定子电压方程构造神经网络速度观测器来获得电动机的转速,观测器简单易行,通过遗传算法来优化神经网络的权值,使神经网络的权值达到最优.最后通过Matlab/Simulink仿真和实验研究,验证了系统设计的有效性和可行性.
英文摘要:
      The speed of induction motor was acquired using neural network speed sensor-less constructed from the flux equation and stator voltage equation.The observer is simple and obtains the neural networks global optimization by optimizeining the right value of the neural network by using the genetic algorithm.Matlab/Simulink simulation and experiments verify the efficiency and feasibility of the system design.
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