提出一种具有神经网络补偿的状态反馈控制方法并用于液压伺服位置控制系统。
This paper proposes a state feedback control strategy with a neural network compensator, which is applied in a hydraulic position servo system.
改变输入信号幅度、反馈增益系数、放大器增益、比较器增益等参数以及相位补偿器的位置进行了仿真。
Simulations have been done through adjusting parameters such as input signal amplitude, feedback gain, amplifier gain, comparator gain and the position of the phase compensator.
改变输入信号幅度、反馈增益系数、放大器增益、比较器增益等参数以及相位补偿器的位置进行了仿真。
Simulations have been done through adjusting parameters such as input signal amplitude, feedback gain, amplifier gain, comparator gain and the position of the phase compensator.
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