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。
2
It also testifies the intermediate variate in the system is servo valve loading pressure ; compensator is a first derivative element.
可以证明本系统的这种观测量是伺服阀的负载压力，而所谓补偿器是一个一阶微分环节，因而容易实现。
3
A novel extraneous torque compensator based on neural network is proposed to solve the problem of extraneous torque, which exists in electro-hydraulic servo load simulator.