摘要
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 。
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.
出处
《控制与决策》
EI
CSCD
北大核心
2000年第3期368-370,374,共4页
Control and Decision
关键词
电液位置伺服系统
CMAC
负载干扰
自学习控制
electrohydraulic position servo system, CMAC neural network, load disturbance
