电液速度伺服RBF模糊自适应控制

RBF Fuzzy Adaptive Control of Electro-hydraulic Velocity Servo System

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.