The combination of fuzzy and ANN control as soft computing has gained widely concern in recent years.
近年来，以模糊控制和神经网络控制相结合的软计算技术获得了广泛关注。
ANN control strategy can make the voltage of generators stable in the course of load changed, load uninstalled, electrical network fault and generator fault and so on.
ANN控制方法能使发电机在负荷变化、甩负荷运行、电网故障以及发电机故障等各种工况条件下，发电机端电压保持稳定。
This paper suggests a decoupling in great deviation by ANN control, while PID control can be used to achieve the fast stabilization in small deviation and clean the static deviation.
提出用神经网络控制器实现大偏差范围内的解耦控制，由PID控制实现小偏差时的快速稳定并消除静差。
This paper suggests a decoupling in great deviation by ANN control, while PID control can be used to achieve the fast stabilization in small deviation and clean the static deviation.
提出用神经网络控制器实现大偏差范围内的解耦控制，由PID控制实现小偏差时的快速稳定并消除静差。
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