摘要
在分析了摩擦特性及其对伺服系统低速特性的影响的基础上 ,提出了一种基于自适应模糊神经网络的摩擦辨识和补偿方法 ,该方法既可实现摩擦力矩的在线辨识和补偿 ,又能保证系统的稳定性。仿真结果表明 ,该方法是有效的 。
The friction characteristic is proposed, and the impact of friction on servo system is analyzed. Then a systematic identification and compensation method which is based on the adaptive fuzzy neural network is presented. This method not only realize the online identification and compensation, but also guarantee stability of the system. Simulation results verity the effectiveness and easy implementation of the proposed method.
出处
《高技术通讯》
EI
CAS
CSCD
2000年第12期44-47,共4页
Chinese High Technology Letters
基金
国家自然科学基金项目!(5 96 75 0 0 8)
关键词
伺服系统
摩擦辩识
摩擦补偿
自适应模糊神经网络
Servo system, Friction identification, Friction compensation, Fuzzy neural network
