摘要
提出一种基于直接模型参考的神经网络与滑模变结构控制相结合的神经网络自适应控制方法并对电液伺服系统进行控制.仿真结果表明用该控制方法的控制系统能实现较高精度控制,且具有较强的鲁棒性和自适应能力,具有应用价值.
A new control method of neural network adaptive control based on direct model reference is presented and is applied to the position control of an electrohydraulic servo system in a lab.And neural network control has been blended together with sliding model variable structure control.Simulation results show that the proposed control system can obtain high precision control and possess better robustness and adaptiveness,and have practical value.
出处
《湖南大学学报(自然科学版)》
EI
CAS
CSCD
1998年第5期55-59,共5页
Journal of Hunan University:Natural Sciences
关键词
电液伺服系统
神经网络
自适应控制
model reference adaptive control,sliding mode variable structure control,electrohydraulic servo system,artificial neural network