电液速度伺服RBF模糊自适应控制  

RBF Fuzzy Adaptive Control of Electro-hydraulic Velocity Servo System

作　　者：罗智勇[1] 万健如[1] 李维平[1] 

机构地区：[1]天津大学自动化学院

出　　处：《机床与液压》2006年第9期185-187,共3页Machine Tool & Hydraulics

摘　　要：由于电液速度伺服系统的非线性和参数的不确定性,难以建立精确的数学模型,本文引入RBF(径向基函数)模糊自适应控制,利用RBF神经网络进行自学习、修改和完善模糊规则,改善其动态性能。仿真结果表明该方法具有较强的自适应和自学习能力,即使对复杂的非线性系统也能取得良好的控制效果。For the non - linearity and uncertainty of electro - hydraulic velocity servo system, an accurate math model is hard to build. A RBF （radial basis function） fuzzy adaptive control method was introduced, which takes advantage of RBF Neural Network to proceed self- learning, thus the fuzzy rules are updated and the performance of electro - hydraulic velocity servo system is improved. The emulation result shows that this method has strong self - adaptive and self - learning ability, which ensures that a favorable control effect can be achieved even though facing a complex non - linear system.

关 键 词：电液速度伺服系统 模糊自适应控制 RBF神经网络 

分 类 号：TP27[自动化与计算机技术—检测技术与自动化装置]