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The Application in Speed Sensor-less Based on BP Neural Network Optimized by Genetic Algorithm

机译:遗传算法优化的BP神经网络在无速度传感器中的应用

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This paper puts forward a strategy that the sensor-less being optimized by the intelligent algorithm applies in the system of direct torque control. Based on the BP neural network in the identification of DTC speed, it optimizes the BP neural network speed identifier by using generic algorithm. It is proved by the simulation results that the neural network has been greatly improved by the application of intelligent algorithm, and the speed sensor-less based on the intelligent algorithm has better stability properties.
机译:提出了一种通过智能算法优化的无传感器的策略在直接转矩控制系统中的应用。基于BP神经网络的故障诊断速度识别,采用通用算法优化了BP神经网络速度识别器。仿真结果证明,智能算法的应用大大改善了神经网络,基于智能算法的无速度传感器具有较好的稳定性。

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