This topic research and develop SVC (Static Var Compensator) control system based on DSP, was the embeded system computer technology and electric power electronic technology integrate example.
本课题研究开发了基于DSP的SVC(动态静止型无功补偿)控制系统，是嵌入式计算机技术与电力电子技术结合的一个实例。
This paper proposes a state feedback control strategy with a neural network compensator, which is applied in a hydraulic position servo system.
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。
The identification of transfer function can facilitate the design of a digital compensator to get rid of manual debugging and provide complex digital compensator for a high performance control system.
传递函数辨识方法摆脱了数字补偿器设计依赖手工调试的状况，并可以提供复杂的数字补偿器以得到高性能的控制系统。
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