| 基于RBF网络的高速电磁开关阀模型辨识 |
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| 引用本文： | 泮健,施光林. 基于RBF网络的高速电磁开关阀模型辨识[J]. 机床与液压, 2011, 0(17) |
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| 作者姓名： | 泮健 施光林 |
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| 作者单位： | 上海交通大学机电控制与物流装备研究所; |
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| 基金项目： | 国家自然科学基金资助项目(50775137) |
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| 摘 要： | 简介高速电磁开关阀常用模型,分析其特点;给出RBF神经网络用于非线性系统辨识的一般结构与步骤;分析了使用该网络进行高速电磁开关阀模型辨识的结果,同时使用一些未作为训练样本的数据进行验证,并与理想公式的计算结果进行对比。结果表明:即使在高速开关阀的电气与结构参数未知的情况下,仍然可以使用RBF网络辨识出适合实际应用的高速电磁开关阀模型。
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| 关 键 词： | RBF神经网络 高速电磁开关阀 模型辨识 |
Model Identification of High Speed on/off Solenoid Valve Based on RBF Network |
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| PAN Jian,SHI Guanglin. Model Identification of High Speed on/off Solenoid Valve Based on RBF Network[J]. Machine Tool & Hydraulics, 2011, 0(17) |
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| Authors: | PAN Jian SHI Guanglin |
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| Affiliation: | PAN Jian,SHI Guanglin(Institute of Mechatronics & Logistics Equipment,Shanghai Jiaotong University,Shanghai 200240,China) |
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| Abstract: | The frequently-used models of high speed on/off solenoid valve and their characteristics were introduced and analyzed.The general structure and steps of RBF neural networks employed for non-linear system identification were depicted.As an example,the RBF network was used for the model identification of high speed on/off solenoid valve.The experiments were made and the results were classified into two sets,one set for identification and the other for validation.The identified model was testified through the ... |
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| Keywords: | RBF neural network High speed on/off solenoid valve Model identification |
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