基于CMAC 的带有未知负载干扰电液位置伺服系统的自学习控制

针对电液伺服系统的特点，提出了基于ＣＭＡＣ神经网络非线性控制的结构和算法。对电液位置伺服系统的动态仿真表明，雇地未知和时变外负载干扰具有明显的抑制作用。

The CMAC-based Self-learning Control for an Electrohydraulic Position Servo System Subjected to Unknown Disturbances

Since hydraulically operated processes are often subjected to unknown disturbances, an adaptive self-learning scheme was derived based on CMAC neural network. The performance of the derived self-learning controller is evaluated througth simulations. The results show that the proposed controller is fairly insensitive to unknown and time-varying external load disturbances, and has much better response characteristics than that of conventional constant PID controller.