| 遗传神经网络无速度传感器DTC系统的研究 |
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| 引用本文： | 李小凡.遗传神经网络无速度传感器DTC系统的研究[J].盐城工学院学报(自然科学版),2009,22(3):47-50. |
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| 作者姓名： | 李小凡 |
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| 作者单位： | 盐城工学院,电气工程学院,江苏,盐城,224051 |
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| 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Madab／Simulink仿真和实验研究，验证了系统设计的有效性和可行性。
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| 关 键 词： | 直接转矩控制 无速度传感器 遗传算法 神经网络 |
Research on Speed Sensor-less DTC System of Genetic Neural Network |
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| LI Xiao-fan.Research on Speed Sensor-less DTC System of Genetic Neural Network[J].Journal of Yancheng Institute of Technology(Natural Science Edition),2009,22(3):47-50. |
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| Authors: | LI Xiao-fan |
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| Institution: | LI Xiao-fan (College of Electrical Engineering, Yancheng Institute of Technology, Jiangsu Yancheng 224051, China) |
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| Abstract: | The speed of induction motor was acquired using neural network speed sensorless 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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| Keywords: | direct torque control speed sensor - less genetic algorithm neural network |
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