| 电液速度伺服RBF模糊自适应控制 |
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| 引用本文： | 罗智勇,万健如,李维平. 电液速度伺服RBF模糊自适应控制[J]. 机床与液压, 2006, 0(9): 185-187 |
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| 作者姓名： | 罗智勇 万健如 李维平 |
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| 作者单位： | 天津大学自动化学院,天津,300072;湖南化工职业技术学院,株洲,412004;天津大学自动化学院,天津,300072 |
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| 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。
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| 关 键 词： | 电液速度伺服系统 模糊自适应控制 RBF神经网络 |
| 文章编号： | 1001-3881(2006)9-185-3 |
| 收稿时间： | 2005-07-29 |
| 修稿时间： | 2005-07-29 |
RBF Fuzzy Adaptive Control of Electro-hydraulic Velocity Servo System |
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| LUO Zhiyong,WAN Jianru,LI Weiping. RBF Fuzzy Adaptive Control of Electro-hydraulic Velocity Servo System[J]. Machine Tool & Hydraulics, 2006, 0(9): 185-187 |
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| Authors: | LUO Zhiyong WAN Jianru LI Weiping |
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| Affiliation: | 1. School of Automation, Tianjin University, Tianjin 300072, China;2. Hunan Chemical Vocational and Technology College, Zhuzhou Hunan 412004, China |
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| Abstract: | 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. |
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| Keywords: | Electro-hydraulic velocity servo system Fuzzy adaptive control RBF neural network |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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